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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Network Analysis</h1><div class="u-tcGrayDark">72,443 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Network Analysis</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Network_Analysis">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Network_Analysis/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Network_Analysis/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Network_Analysis/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Network_Analysis">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_58066051" data-work_id="58066051" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/58066051/Assyrian_Merchants_meet_Nuclear_Physicists_History_of_the_Early_Contributions_from_Social_Sciences_to_Computer_Science_The_Case_of_Automatic_Pattern_Detection_in_Graphs_1950s_1970s_">Assyrian Merchants meet Nuclear Physicists: History of the Early Contributions from Social Sciences to Computer Science. The Case of Automatic Pattern Detection in Graphs (1950s-1970s)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Community detection is a major issue in network analysis. This paper combines a socio-historical approach with an experimental reconstruction of programs to investigate the early automation of clique detection algorithms, which remains... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_58066051" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Community detection is a major issue in network analysis. This paper combines a socio-historical approach with an experimental reconstruction of programs to investigate the early automation of clique detection algorithms, which remains one of the unsolved NP-complete problems today. The research led by the archaeologist Jean-Claude Gardin from the 1950s on non-numerical information and graph analysis is retraced to demonstrate the early contributions of social sciences and humanities. The limited recognition and reception of Gardin’s innovative computer application to the humanities are addressed through two factors, in addition to the effects of historiography and bibliographies on the recording, discoverability, and reuse of scientific productions: 1) funding policies, evidenced by the transfer of research effort on graph applications from temporary interdisciplinary spaces to disciplinary organizations related to the then-emerging field of computer science; and 2) the erratic careers of algorithms, in which efficiency, flaws, corrections, and authors’ status, were determining factors.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/58066051" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6564797b92b7e54d08f00212be1f0a59" rel="nofollow" data-download="{"attachment_id":72658001,"asset_id":58066051,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/72658001/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="941780" href="https://cnrs.academia.edu/S%C3%A9bastienPlutniak">Sébastien Plutniak</a><script data-card-contents-for-user="941780" type="text/json">{"id":941780,"first_name":"Sébastien","last_name":"Plutniak","domain_name":"cnrs","page_name":"SébastienPlutniak","display_name":"Sébastien Plutniak","profile_url":"https://cnrs.academia.edu/S%C3%A9bastienPlutniak?f_ri=9191","photo":"https://0.academia-photos.com/941780/460838/28300395/s65_s_bastien.plutniak.jpg"}</script></span></span></li><li class="js-paper-rank-work_58066051 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="58066051"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 58066051, container: ".js-paper-rank-work_58066051", }); });</script></li><li class="js-percentile-work_58066051 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 58066051; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_58066051"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_58066051 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="58066051"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 58066051; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=58066051]").text(description); $(".js-view-count-work_58066051").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_58066051").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="58066051"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">19</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="132" href="https://www.academia.edu/Documents/in/History_of_Science_and_Technology">History of Science and Technology</a>, <script data-card-contents-for-ri="132" type="text/json">{"id":132,"name":"History of Science and Technology","url":"https://www.academia.edu/Documents/in/History_of_Science_and_Technology?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="397" href="https://www.academia.edu/Documents/in/Near_Eastern_Archaeology">Near Eastern Archaeology</a>, <script data-card-contents-for-ri="397" type="text/json">{"id":397,"name":"Near Eastern Archaeology","url":"https://www.academia.edu/Documents/in/Near_Eastern_Archaeology?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="428" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="495" href="https://www.academia.edu/Documents/in/History_Of_Computing">History Of Computing</a><script data-card-contents-for-ri="495" type="text/json">{"id":495,"name":"History Of Computing","url":"https://www.academia.edu/Documents/in/History_Of_Computing?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=58066051]'), work: {"id":58066051,"title":"Assyrian Merchants meet Nuclear Physicists: History of the Early Contributions from Social Sciences to Computer Science. The Case of Automatic Pattern Detection in Graphs (1950s-1970s)","created_at":"2021-10-15T03:22:07.303-07:00","url":"https://www.academia.edu/58066051/Assyrian_Merchants_meet_Nuclear_Physicists_History_of_the_Early_Contributions_from_Social_Sciences_to_Computer_Science_The_Case_of_Automatic_Pattern_Detection_in_Graphs_1950s_1970s_?f_ri=9191","dom_id":"work_58066051","summary":"Community detection is a major issue in network analysis. This paper combines a socio-historical approach with an experimental reconstruction of programs to investigate the early automation of clique detection algorithms, which remains one of the unsolved NP-complete problems today. The research led by the archaeologist Jean-Claude Gardin from the 1950s on non-numerical information and graph analysis is retraced to demonstrate the early contributions of social sciences and humanities. The limited recognition and reception of Gardin’s innovative computer application to the humanities are addressed through two factors, in addition to the effects of historiography and bibliographies on the recording, discoverability, and reuse of scientific productions: 1) funding policies, evidenced by the transfer of research effort on graph applications from temporary interdisciplinary spaces to disciplinary organizations related to the then-emerging field of computer science; and 2) the erratic careers of algorithms, in which efficiency, flaws, corrections, and authors’ status, were determining factors.","downloadable_attachments":[{"id":72658001,"asset_id":58066051,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":941780,"first_name":"Sébastien","last_name":"Plutniak","domain_name":"cnrs","page_name":"SébastienPlutniak","display_name":"Sébastien Plutniak","profile_url":"https://cnrs.academia.edu/S%C3%A9bastienPlutniak?f_ri=9191","photo":"https://0.academia-photos.com/941780/460838/28300395/s65_s_bastien.plutniak.jpg"}],"research_interests":[{"id":132,"name":"History of Science and Technology","url":"https://www.academia.edu/Documents/in/History_of_Science_and_Technology?f_ri=9191","nofollow":false},{"id":397,"name":"Near Eastern Archaeology","url":"https://www.academia.edu/Documents/in/Near_Eastern_Archaeology?f_ri=9191","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=9191","nofollow":false},{"id":495,"name":"History Of Computing","url":"https://www.academia.edu/Documents/in/History_Of_Computing?f_ri=9191","nofollow":false},{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191"},{"id":2616,"name":"Graph Theory","url":"https://www.academia.edu/Documents/in/Graph_Theory?f_ri=9191"},{"id":3723,"name":"History of Science","url":"https://www.academia.edu/Documents/in/History_of_Science?f_ri=9191"},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191"},{"id":13739,"name":"Social Network Analysis (SNA)","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_?f_ri=9191"},{"id":17936,"name":"Ancient Near East","url":"https://www.academia.edu/Documents/in/Ancient_Near_East?f_ri=9191"},{"id":26750,"name":"History of Archeology","url":"https://www.academia.edu/Documents/in/History_of_Archeology?f_ri=9191"},{"id":32480,"name":"Assyrian archaeology","url":"https://www.academia.edu/Documents/in/Assyrian_archaeology?f_ri=9191"},{"id":33108,"name":"Ancient Trade \u0026 Commerce (Archaeology)","url":"https://www.academia.edu/Documents/in/Ancient_Trade_and_Commerce_Archaeology_?f_ri=9191"},{"id":33874,"name":"Cuneiform","url":"https://www.academia.edu/Documents/in/Cuneiform?f_ri=9191"},{"id":42795,"name":"Assyrian Studies","url":"https://www.academia.edu/Documents/in/Assyrian_Studies?f_ri=9191"},{"id":49992,"name":"Cuneiform, History and Archaeology of Assyria","url":"https://www.academia.edu/Documents/in/Cuneiform_History_and_Archaeology_of_Assyria?f_ri=9191"},{"id":71155,"name":"History of Computer Sciences","url":"https://www.academia.edu/Documents/in/History_of_Computer_Sciences?f_ri=9191"},{"id":518936,"name":"The Silk Road and other ancient trade routes","url":"https://www.academia.edu/Documents/in/The_Silk_Road_and_other_ancient_trade_routes?f_ri=9191"},{"id":841938,"name":"Cliques","url":"https://www.academia.edu/Documents/in/Cliques?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1166678" data-work_id="1166678" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1166678/Tagungsbericht_Zentrale_Orte_und_Zentrale_R%C3%A4ume_des_Fr%C3%BChmittelalters_in_S%C3%BCddeutschland_07_10_2011_09_10_2011_Bad_Neustadt_an_der_Saale">Tagungsbericht Zentrale Orte und Zentrale Räume des Frühmittelalters in Süddeutschland. 07.10.2011-09.10.2011, Bad Neustadt an der Saale</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1166678" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ae458f4183c2b38118cdd967cce90116" rel="nofollow" data-download="{"attachment_id":7189180,"asset_id":1166678,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/7189180/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="253199" href="https://dainst.academia.edu/LukasWerther">Lukas Werther</a><script data-card-contents-for-user="253199" type="text/json">{"id":253199,"first_name":"Lukas","last_name":"Werther","domain_name":"dainst","page_name":"LukasWerther","display_name":"Lukas Werther","profile_url":"https://dainst.academia.edu/LukasWerther?f_ri=9191","photo":"https://0.academia-photos.com/253199/54164/121111038/s65_lukas.werther.jpg"}</script></span></span></li><li class="js-paper-rank-work_1166678 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1166678"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1166678, container: ".js-paper-rank-work_1166678", }); });</script></li><li class="js-percentile-work_1166678 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1166678; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1166678"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1166678 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1166678"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1166678; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1166678]").text(description); $(".js-view-count-work_1166678").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1166678").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1166678"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="266" href="https://www.academia.edu/Documents/in/Historical_Geography">Historical Geography</a>, <script data-card-contents-for-ri="266" type="text/json">{"id":266,"name":"Historical Geography","url":"https://www.academia.edu/Documents/in/Historical_Geography?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3410" href="https://www.academia.edu/Documents/in/Urban_History">Urban History</a>, <script data-card-contents-for-ri="3410" type="text/json">{"id":3410,"name":"Urban History","url":"https://www.academia.edu/Documents/in/Urban_History?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7172" href="https://www.academia.edu/Documents/in/Early_Medieval_Archaeology">Early Medieval Archaeology</a>, <script data-card-contents-for-ri="7172" type="text/json">{"id":7172,"name":"Early Medieval Archaeology","url":"https://www.academia.edu/Documents/in/Early_Medieval_Archaeology?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7629" href="https://www.academia.edu/Documents/in/Early_Medieval_History">Early Medieval History</a><script data-card-contents-for-ri="7629" type="text/json">{"id":7629,"name":"Early Medieval History","url":"https://www.academia.edu/Documents/in/Early_Medieval_History?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1166678]'), work: {"id":1166678,"title":"Tagungsbericht Zentrale Orte und Zentrale Räume des Frühmittelalters in Süddeutschland. 07.10.2011-09.10.2011, Bad Neustadt an der Saale","created_at":"2011-12-19T04:58:50.997-08:00","url":"https://www.academia.edu/1166678/Tagungsbericht_Zentrale_Orte_und_Zentrale_R%C3%A4ume_des_Fr%C3%BChmittelalters_in_S%C3%BCddeutschland_07_10_2011_09_10_2011_Bad_Neustadt_an_der_Saale?f_ri=9191","dom_id":"work_1166678","summary":null,"downloadable_attachments":[{"id":7189180,"asset_id":1166678,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":253199,"first_name":"Lukas","last_name":"Werther","domain_name":"dainst","page_name":"LukasWerther","display_name":"Lukas Werther","profile_url":"https://dainst.academia.edu/LukasWerther?f_ri=9191","photo":"https://0.academia-photos.com/253199/54164/121111038/s65_lukas.werther.jpg"}],"research_interests":[{"id":266,"name":"Historical Geography","url":"https://www.academia.edu/Documents/in/Historical_Geography?f_ri=9191","nofollow":false},{"id":3410,"name":"Urban History","url":"https://www.academia.edu/Documents/in/Urban_History?f_ri=9191","nofollow":false},{"id":7172,"name":"Early Medieval Archaeology","url":"https://www.academia.edu/Documents/in/Early_Medieval_Archaeology?f_ri=9191","nofollow":false},{"id":7629,"name":"Early Medieval History","url":"https://www.academia.edu/Documents/in/Early_Medieval_History?f_ri=9191","nofollow":false},{"id":8070,"name":"Stratification and Power","url":"https://www.academia.edu/Documents/in/Stratification_and_Power?f_ri=9191"},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191"},{"id":21994,"name":"Spatial Theory","url":"https://www.academia.edu/Documents/in/Spatial_Theory?f_ri=9191"},{"id":26725,"name":"Spatial archaeology","url":"https://www.academia.edu/Documents/in/Spatial_archaeology?f_ri=9191"},{"id":339838,"name":"Central Places","url":"https://www.academia.edu/Documents/in/Central_Places?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_70400073" data-work_id="70400073" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/70400073/Implementing_the_SDGs_Responding_to_the_Challenges_of_Interconnectivity_and_Balance">Implementing the SDGs Responding to the Challenges of Interconnectivity and Balance</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Sustainable Development Goals (SDGs) present two challenges for integrated planning and implementation at the national level. One is that policies and plans need to identify and accommodate interconnectivities amongst the SDGs. Second... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_70400073" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The Sustainable Development Goals (SDGs) present two challenges for integrated planning and implementation at the national level. One is that policies and plans need to identify and accommodate interconnectivities amongst the SDGs. Second is the need to balance the three dimensions: economic growth, social inclusion and environmental protection. This paper uses network analysis to explore interconnectivity and balance of the Sri Lankan policies or plans in relation to SDG 7, that advocates clean energy security. The findings suggest that the selected policies or plans are not only clearly linked to SDG 7, but also shows strong connectivity to SDG 1 (poverty), 10 (inequality), 11 (cities) and 12 (sustainable consumption and production) as well as other SDGs. This emphasises the need to recognise sectoral cross links for an integrated plan. In terms of balance there is a skew towards the environmental dimension over the economic and social dimensions. There are also conflicts between ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70400073" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="be528e7dc82959a798a722629fbff433" rel="nofollow" data-download="{"attachment_id":80169181,"asset_id":70400073,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80169181/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6390523" href="https://ormondsimpson.academia.edu/NavamNiles">Navam Niles</a><script data-card-contents-for-user="6390523" type="text/json">{"id":6390523,"first_name":"Navam","last_name":"Niles","domain_name":"ormondsimpson","page_name":"NavamNiles","display_name":"Navam Niles","profile_url":"https://ormondsimpson.academia.edu/NavamNiles?f_ri=9191","photo":"https://0.academia-photos.com/6390523/16721453/19200905/s65_navam.niles.jpg"}</script></span></span></li><li class="js-paper-rank-work_70400073 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="70400073"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 70400073, container: ".js-paper-rank-work_70400073", }); });</script></li><li class="js-percentile-work_70400073 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70400073; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_70400073"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_70400073 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="70400073"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70400073; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70400073]").text(description); $(".js-view-count-work_70400073").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_70400073").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="70400073"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="26" href="https://www.academia.edu/Documents/in/Business">Business</a>, <script data-card-contents-for-ri="26" type="text/json">{"id":26,"name":"Business","url":"https://www.academia.edu/Documents/in/Business?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2738" href="https://www.academia.edu/Documents/in/Renewable_Energy">Renewable Energy</a>, <script data-card-contents-for-ri="2738" type="text/json">{"id":2738,"name":"Renewable Energy","url":"https://www.academia.edu/Documents/in/Renewable_Energy?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5412" href="https://www.academia.edu/Documents/in/Energy">Energy</a>, <script data-card-contents-for-ri="5412" type="text/json">{"id":5412,"name":"Energy","url":"https://www.academia.edu/Documents/in/Energy?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a><script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=70400073]'), work: {"id":70400073,"title":"Implementing the SDGs Responding to the Challenges of Interconnectivity and Balance","created_at":"2022-02-04T02:56:26.204-08:00","url":"https://www.academia.edu/70400073/Implementing_the_SDGs_Responding_to_the_Challenges_of_Interconnectivity_and_Balance?f_ri=9191","dom_id":"work_70400073","summary":"The Sustainable Development Goals (SDGs) present two challenges for integrated planning and implementation at the national level. One is that policies and plans need to identify and accommodate interconnectivities amongst the SDGs. Second is the need to balance the three dimensions: economic growth, social inclusion and environmental protection. This paper uses network analysis to explore interconnectivity and balance of the Sri Lankan policies or plans in relation to SDG 7, that advocates clean energy security. The findings suggest that the selected policies or plans are not only clearly linked to SDG 7, but also shows strong connectivity to SDG 1 (poverty), 10 (inequality), 11 (cities) and 12 (sustainable consumption and production) as well as other SDGs. This emphasises the need to recognise sectoral cross links for an integrated plan. In terms of balance there is a skew towards the environmental dimension over the economic and social dimensions. 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Development Goals (SDGs)","url":"https://www.academia.edu/Documents/in/Sustainable_Development_Goals_SDGs_?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_829310" data-work_id="829310" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/829310/The_dynamics_of_an_online_knowledge_building_community_A_5_year_longitudinal_study">The dynamics of an online knowledge building community: A 5‐year longitudinal study</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/829310" 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".js-paper-rank-work_829310", }); });</script></li><li class="js-percentile-work_829310 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 829310; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_829310"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_829310 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="829310"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 829310; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=829310]").text(description); $(".js-view-count-work_829310").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_829310").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="829310"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="94" href="https://www.academia.edu/Documents/in/Discourse_Analysis">Discourse Analysis</a>, <script data-card-contents-for-ri="94" type="text/json">{"id":94,"name":"Discourse Analysis","url":"https://www.academia.edu/Documents/in/Discourse_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1233" href="https://www.academia.edu/Documents/in/Social_Networks">Social Networks</a>, <script data-card-contents-for-ri="1233" type="text/json">{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6426" href="https://www.academia.edu/Documents/in/Content_Analysis">Content Analysis</a>, <script data-card-contents-for-ri="6426" type="text/json">{"id":6426,"name":"Content Analysis","url":"https://www.academia.edu/Documents/in/Content_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a><script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=829310]'), work: {"id":829310,"title":"The dynamics of an online knowledge building community: A 5‐year longitudinal study","created_at":"2011-08-13T03:54:14.926-07:00","url":"https://www.academia.edu/829310/The_dynamics_of_an_online_knowledge_building_community_A_5_year_longitudinal_study?f_ri=9191","dom_id":"work_829310","summary":null,"downloadable_attachments":[{"id":4972787,"asset_id":829310,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":24929,"first_name":"Mauri","last_name":"Ahlberg(Åhlberg)","domain_name":"helsinki","page_name":"MauriAhlberg","display_name":"Mauri Ahlberg(Åhlberg)","profile_url":"https://helsinki.academia.edu/MauriAhlberg?f_ri=9191","photo":"https://0.academia-photos.com/24929/8056/7670/s65_mauri.ahlberg_hlberg_.jpg"}],"research_interests":[{"id":94,"name":"Discourse Analysis","url":"https://www.academia.edu/Documents/in/Discourse_Analysis?f_ri=9191","nofollow":false},{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false},{"id":6426,"name":"Content Analysis","url":"https://www.academia.edu/Documents/in/Content_Analysis?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":11006,"name":"Computer Mediated Communication","url":"https://www.academia.edu/Documents/in/Computer_Mediated_Communication?f_ri=9191"},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=9191"},{"id":62436,"name":"Interviews","url":"https://www.academia.edu/Documents/in/Interviews?f_ri=9191"},{"id":212758,"name":"Trend Analysis","url":"https://www.academia.edu/Documents/in/Trend_Analysis?f_ri=9191"},{"id":356201,"name":"Qualitative Data","url":"https://www.academia.edu/Documents/in/Qualitative_Data?f_ri=9191"},{"id":631704,"name":"Social Network Analysis","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis?f_ri=9191"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet?f_ri=9191"},{"id":1993786,"name":"Cumulant","url":"https://www.academia.edu/Documents/in/Cumulant?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44303187" data-work_id="44303187" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/44303187/CCNA_200_301_Study_Notes_2020_">CCNA 200-301 Study Notes (2020)</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44303187" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0435232e28b41eac0499786f55c0d911" rel="nofollow" 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Networks</a>, <script data-card-contents-for-ri="4252" type="text/json">{"id":4252,"name":"Computer Networks","url":"https://www.academia.edu/Documents/in/Computer_Networks?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="17630" href="https://www.academia.edu/Documents/in/Cisco_Security">Cisco Security</a><script data-card-contents-for-ri="17630" type="text/json">{"id":17630,"name":"Cisco Security","url":"https://www.academia.edu/Documents/in/Cisco_Security?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44303187]'), work: {"id":44303187,"title":"CCNA 200-301 Study Notes (2020)","created_at":"2020-10-15T06:56:50.760-07:00","url":"https://www.academia.edu/44303187/CCNA_200_301_Study_Notes_2020_?f_ri=9191","dom_id":"work_44303187","summary":null,"downloadable_attachments":[{"id":87187660,"asset_id":44303187,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":65477450,"first_name":"Mohammad Mushfequr","last_name":"Rahman","domain_name":"northumbria","page_name":"MohammadMushfequrRahman","display_name":"Mohammad Mushfequr Rahman","profile_url":"https://northumbria.academia.edu/MohammadMushfequrRahman?f_ri=9191","photo":"https://0.academia-photos.com/65477450/17054831/63991740/s65_mohammad_mushfequr.rahman.jpg"}],"research_interests":[{"id":3703,"name":"Network Security","url":"https://www.academia.edu/Documents/in/Network_Security?f_ri=9191","nofollow":false},{"id":4252,"name":"Computer 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V4.0","url":"https://www.academia.edu/Documents/in/CISCO_CCNA_EXPLORATION_V4.0?f_ri=9191"},{"id":1375607,"name":"CCNA 4","url":"https://www.academia.edu/Documents/in/CCNA_4?f_ri=9191"},{"id":1488520,"name":"CCNA 100-101 ICND1 exam","url":"https://www.academia.edu/Documents/in/CCNA_100-101_ICND1_exam?f_ri=9191"},{"id":1734457,"name":"Cisco CCNA R \u0026 S","url":"https://www.academia.edu/Documents/in/Cisco_CCNA_R_and_S?f_ri=9191"},{"id":2460896,"name":"Ccna Exam Answer","url":"https://www.academia.edu/Documents/in/Ccna_Exam_Answer?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_45499923" data-work_id="45499923" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/45499923/Towards_the_Modelling_of_Veillance_based_Citizen_Profiling_using_Knowledge_Graphs">Towards the Modelling of Veillance based Citizen Profiling using Knowledge Graphs</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this work we have proposed a model for Citizen Profiling. It uses veillance (Surveillance and Sousveillance) for data acquisition. For representation of Citizen Profile Temporal Knowledge Graph has been used through which we can answer... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45499923" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this work we have proposed a model for Citizen Profiling. It uses veillance (Surveillance and Sousveillance) for data acquisition. For representation of Citizen Profile Temporal Knowledge Graph has been used through which we can answer semantic queries. Previously, most of the work lacks representation of Citizen Profile and have used surveillance for data acquisition. Our contribution is towards enriching the data acquisition process by adding sousveillance mechanism and facilitating semantic queries through representation of Citizen Profiles using Temporal Knowledge Graphs. Our proposed solution is storage efficient as we have only stored data logs for Citizen Profiling instead of storing images, audio, and video for profiling purposes. Our proposed system can be extended to Smart City, Smart Traffic Management, Workplace profiling etc. Agent based mechanism can be used for data acquisition where each Citizen has its own agent. Another improvement can be to incorporate a decentralized version of database for maintaining Citizen profile.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/45499923" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="73ba16fabaa2daa313e6cce57fdede12" rel="nofollow" data-download="{"attachment_id":65993885,"asset_id":45499923,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65993885/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="140106179" href="https://urbinoc.academia.edu/SirajMunir">Siraj Munir</a><script data-card-contents-for-user="140106179" type="text/json">{"id":140106179,"first_name":"Siraj","last_name":"Munir","domain_name":"urbinoc","page_name":"SirajMunir","display_name":"Siraj Munir","profile_url":"https://urbinoc.academia.edu/SirajMunir?f_ri=9191","photo":"https://0.academia-photos.com/140106179/37745061/31827202/s65_siraj.munir.jpg"}</script></span></span></li><li class="js-paper-rank-work_45499923 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="45499923"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 45499923, container: ".js-paper-rank-work_45499923", }); 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$(".js-view-count[data-work-id=45499923]").text(description); $(".js-view-count-work_45499923").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_45499923").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="45499923"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="379669" href="https://www.academia.edu/Documents/in/Profiling">Profiling</a>, <script data-card-contents-for-ri="379669" type="text/json">{"id":379669,"name":"Profiling","url":"https://www.academia.edu/Documents/in/Profiling?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1238857" href="https://www.academia.edu/Documents/in/Neo4j">Neo4j</a><script data-card-contents-for-ri="1238857" type="text/json">{"id":1238857,"name":"Neo4j","url":"https://www.academia.edu/Documents/in/Neo4j?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=45499923]'), work: {"id":45499923,"title":"Towards the Modelling of Veillance based Citizen Profiling using Knowledge Graphs","created_at":"2021-03-13T01:57:41.043-08:00","url":"https://www.academia.edu/45499923/Towards_the_Modelling_of_Veillance_based_Citizen_Profiling_using_Knowledge_Graphs?f_ri=9191","dom_id":"work_45499923","summary":"In this work we have proposed a model for Citizen Profiling. It uses veillance (Surveillance and Sousveillance) for data acquisition. For representation of Citizen Profile Temporal Knowledge Graph has been used through which we can answer semantic queries. Previously, most of the work lacks representation of Citizen Profile and have used surveillance for data acquisition. Our contribution is towards enriching the data acquisition process by adding sousveillance mechanism and facilitating semantic queries through representation of Citizen Profiles using Temporal Knowledge Graphs. Our proposed solution is storage efficient as we have only stored data logs for Citizen Profiling instead of storing images, audio, and video for profiling purposes. Our proposed system can be extended to Smart City, Smart Traffic Management, Workplace profiling etc. Agent based mechanism can be used for data acquisition where each Citizen has its own agent. Another improvement can be to incorporate a decentralized version of database for maintaining Citizen profile.","downloadable_attachments":[{"id":65993885,"asset_id":45499923,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":140106179,"first_name":"Siraj","last_name":"Munir","domain_name":"urbinoc","page_name":"SirajMunir","display_name":"Siraj Munir","profile_url":"https://urbinoc.academia.edu/SirajMunir?f_ri=9191","photo":"https://0.academia-photos.com/140106179/37745061/31827202/s65_siraj.munir.jpg"}],"research_interests":[{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":379669,"name":"Profiling","url":"https://www.academia.edu/Documents/in/Profiling?f_ri=9191","nofollow":false},{"id":1238857,"name":"Neo4j","url":"https://www.academia.edu/Documents/in/Neo4j?f_ri=9191","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68995622" data-work_id="68995622" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68995622/A_GIS_Assisted_optimal_urban_route_finding_approach_based_on_genetic_algorithms">A GIS-Assisted optimal urban route finding approach based on genetic algorithms</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68995622" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="76cf4ee41922ef3bb54bb35e6ba309c7" rel="nofollow" data-download="{"attachment_id":79265714,"asset_id":68995622,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79265714/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="14561610" href="https://tehran.academia.edu/Samadzadegan">Farhad Samadzadegan</a><script data-card-contents-for-user="14561610" type="text/json">{"id":14561610,"first_name":"Farhad","last_name":"Samadzadegan","domain_name":"tehran","page_name":"Samadzadegan","display_name":"Farhad Samadzadegan","profile_url":"https://tehran.academia.edu/Samadzadegan?f_ri=9191","photo":"https://0.academia-photos.com/14561610/12446374/21004088/s65_farhad.samadzadegan.jpg"}</script></span></span></li><li class="js-paper-rank-work_68995622 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68995622"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68995622, container: ".js-paper-rank-work_68995622", }); });</script></li><li class="js-percentile-work_68995622 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68995622; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_68995622"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_68995622 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="68995622"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68995622; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68995622]").text(description); $(".js-view-count-work_68995622").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_68995622").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="68995622"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="30329" href="https://www.academia.edu/Documents/in/Genetic_Algorithm">Genetic Algorithm</a>, <script data-card-contents-for-ri="30329" type="text/json">{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="129770" href="https://www.academia.edu/Documents/in/Key_words">Key words</a><script data-card-contents-for-ri="129770" type="text/json">{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=68995622]'), work: {"id":68995622,"title":"A GIS-Assisted optimal urban route finding approach based on genetic algorithms","created_at":"2022-01-21T06:00:54.138-08:00","url":"https://www.academia.edu/68995622/A_GIS_Assisted_optimal_urban_route_finding_approach_based_on_genetic_algorithms?f_ri=9191","dom_id":"work_68995622","summary":null,"downloadable_attachments":[{"id":79265714,"asset_id":68995622,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":14561610,"first_name":"Farhad","last_name":"Samadzadegan","domain_name":"tehran","page_name":"Samadzadegan","display_name":"Farhad Samadzadegan","profile_url":"https://tehran.academia.edu/Samadzadegan?f_ri=9191","photo":"https://0.academia-photos.com/14561610/12446374/21004088/s65_farhad.samadzadegan.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=9191","nofollow":false},{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words?f_ri=9191","nofollow":false},{"id":149081,"name":"Decision Support","url":"https://www.academia.edu/Documents/in/Decision_Support?f_ri=9191"},{"id":245965,"name":"Vehicle Routing Problem","url":"https://www.academia.edu/Documents/in/Vehicle_Routing_Problem?f_ri=9191"},{"id":562100,"name":"North East","url":"https://www.academia.edu/Documents/in/North_East?f_ri=9191"},{"id":917249,"name":"Route Finding","url":"https://www.academia.edu/Documents/in/Route_Finding?f_ri=9191"},{"id":1286118,"name":"GIS","url":"https://www.academia.edu/Documents/in/GIS?f_ri=9191"},{"id":1950746,"name":"Heuristic algorithm","url":"https://www.academia.edu/Documents/in/Heuristic_algorithm?f_ri=9191"},{"id":2492716,"name":"Optimal Path","url":"https://www.academia.edu/Documents/in/Optimal_Path?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_64448312" data-work_id="64448312" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/64448312/The_Alignment_of_the_Informal_and_Formal_Organizational_Supports_for_Reform_Implications_for_Improving_Teaching_in_Schools">The Alignment of the Informal and Formal Organizational Supports for Reform: Implications for Improving Teaching in Schools</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Previous qualitative studies show that when the formal organization of a school and patterns of informal interaction are aligned, faculty and leaders in a school are better able to coordinate instructional change. This article combines... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_64448312" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Previous qualitative studies show that when the formal organization of a school and patterns of informal interaction are aligned, faculty and leaders in a school are better able to coordinate instructional change. This article combines social network analysis with interview data to analyze how well the formal and informal aspects of a school’s social context are aligned. The focus is on two elementary schools engaged in initiatives aimed to use data to inform instructional decision making. The multimethod case study integrated findings from questionnaire and interview data. Data were collected over two years from case study schools. By fitting multilevel social selection models to longitudinal social network data collected from surveys, the authors estimated the relative influence of formal and informal processes on patterns of advice giving in each school. They used interview data to contextualize and corroborate findings. The social selection models they fit revealed distinct patt...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/64448312" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="32ec1e5a49b4697ee6d1e0fbefdce0d8" rel="nofollow" data-download="{"attachment_id":76481654,"asset_id":64448312,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/76481654/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="34245774" href="https://independent.academia.edu/MargaretRiel">Margaret Riel</a><script data-card-contents-for-user="34245774" type="text/json">{"id":34245774,"first_name":"Margaret","last_name":"Riel","domain_name":"independent","page_name":"MargaretRiel","display_name":"Margaret Riel","profile_url":"https://independent.academia.edu/MargaretRiel?f_ri=9191","photo":"https://gravatar.com/avatar/52850b8b433e5b578916e25442089cda?s=65"}</script></span></span></li><li class="js-paper-rank-work_64448312 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="64448312"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 64448312, container: ".js-paper-rank-work_64448312", }); 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This article combines social network analysis with interview data to analyze how well the formal and informal aspects of a school’s social context are aligned. The focus is on two elementary schools engaged in initiatives aimed to use data to inform instructional decision making. The multimethod case study integrated findings from questionnaire and interview data. Data were collected over two years from case study schools. By fitting multilevel social selection models to longitudinal social network data collected from surveys, the authors estimated the relative influence of formal and informal processes on patterns of advice giving in each school. They used interview data to contextualize and corroborate findings. The social selection models they fit revealed distinct patt...","downloadable_attachments":[{"id":76481654,"asset_id":64448312,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":34245774,"first_name":"Margaret","last_name":"Riel","domain_name":"independent","page_name":"MargaretRiel","display_name":"Margaret Riel","profile_url":"https://independent.academia.edu/MargaretRiel?f_ri=9191","photo":"https://gravatar.com/avatar/52850b8b433e5b578916e25442089cda?s=65"}],"research_interests":[{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false},{"id":1681,"name":"Decision Making","url":"https://www.academia.edu/Documents/in/Decision_Making?f_ri=9191","nofollow":false},{"id":7099,"name":"Case Studies","url":"https://www.academia.edu/Documents/in/Case_Studies?f_ri=9191","nofollow":false},{"id":9191,"name":"Network 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data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Unlike traditional biological research that focuses on a small set of components, systems biology studies the complex interactions among a large number of genes, proteins, and other elements of biological networks and systems. Host-pathogen systems biology examines the interactions between the components of two distinct organisms: a microbial or viral pathogen and its animal host. With the availability of complete genomic sequences of a variety of hosts and pathogens, together with breakthroughs in proteomics, metabolomics, and other experimental areas, the investigation of host-pathogen systems on a multitude of levels of detail has come within reach. This chapter introduces methods and approaches for the analysis of host-pathogen systems. We will particularly emphasize the role of biochemical networks for the study of complex relationships across species boundaries. Although the research area of host-pathogen systems biology spans multiple spatial and temporal scales, we will focus on the molecular and cellular aspects of pathogen-host interactions. We will cover the construction of biochemical networks, the identification of functional response sub-networks, and their comparative network analysis. These methods find application in the identification of host markers and drug targets for further drug development and therapeutic interventions. We will also provide a brief review of other modeling techniques and applications within host-pathogen systems biology, including rule-based modeling of signal transduction pathways, immune system models, and physiological top-down approaches.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5073669" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a0eada7958bd6e28fac26ed429087545" rel="nofollow" data-download="{"attachment_id":49460726,"asset_id":5073669,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49460726/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6785649" href="https://independent.academia.edu/AndersonBorgesFideles">Anderson Borges Fideles</a><script data-card-contents-for-user="6785649" type="text/json">{"id":6785649,"first_name":"Anderson","last_name":"Borges Fideles","domain_name":"independent","page_name":"AndersonBorgesFideles","display_name":"Anderson Borges Fideles","profile_url":"https://independent.academia.edu/AndersonBorgesFideles?f_ri=9191","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5073669 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5073669"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5073669, container: ".js-paper-rank-work_5073669", }); 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Host-pathogen systems biology examines the interactions between the components of two distinct organisms: a microbial or viral pathogen and its animal host. With the availability of complete genomic sequences of a variety of hosts and pathogens, together with breakthroughs in proteomics, metabolomics, and other experimental areas, the investigation of host-pathogen systems on a multitude of levels of detail has come within reach. This chapter introduces methods and approaches for the analysis of host-pathogen systems. We will particularly emphasize the role of biochemical networks for the study of complex relationships across species boundaries. Although the research area of host-pathogen systems biology spans multiple spatial and temporal scales, we will focus on the molecular and cellular aspects of pathogen-host interactions. We will cover the construction of biochemical networks, the identification of functional response sub-networks, and their comparative network analysis. These methods find application in the identification of host markers and drug targets for further drug development and therapeutic interventions. We will also provide a brief review of other modeling techniques and applications within host-pathogen systems biology, including rule-based modeling of signal transduction pathways, immune system models, and physiological top-down approaches.","downloadable_attachments":[{"id":49460726,"asset_id":5073669,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6785649,"first_name":"Anderson","last_name":"Borges Fideles","domain_name":"independent","page_name":"AndersonBorgesFideles","display_name":"Anderson Borges Fideles","profile_url":"https://independent.academia.edu/AndersonBorgesFideles?f_ri=9191","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":5400,"name":"Systems Biology","url":"https://www.academia.edu/Documents/in/Systems_Biology?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":10640,"name":"Drug 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href="https://www.academia.edu/Documents/in/Neuroimmunology">Neuroimmunology</a><script data-card-contents-for-ri="32913" type="text/json">{"id":32913,"name":"Neuroimmunology","url":"https://www.academia.edu/Documents/in/Neuroimmunology?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7537371]'), work: {"id":7537371,"title":"Identification of large-scale networks in the brain using fMRI","created_at":"2014-07-02T17:51:59.163-07:00","url":"https://www.academia.edu/7537371/Identification_of_large_scale_networks_in_the_brain_using_fMRI?f_ri=9191","dom_id":"work_7537371","summary":null,"downloadable_attachments":[{"id":48431027,"asset_id":7537371,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13520202,"first_name":"Vincent","last_name":"Perlbarg","domain_name":"sorbonne-universites","page_name":"VincentPerlbarg","display_name":"Vincent 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href="https://www.academia.edu/60972265/A_Graph_Analytical_Approach_for_Topic_Detection">A Graph Analytical Approach for Topic Detection</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Topic detection with large and noisy data collections such as social media must address both scalability and accuracy challenges. KeyGraph is an efficient method that improves on current solutions by considering keyword cooccurrence. We... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_60972265" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Topic detection with large and noisy data collections such as social media must address both scalability and accuracy challenges. KeyGraph is an efficient method that improves on current solutions by considering keyword cooccurrence. We show that KeyGraph has similar accuracy when compared to state-of-the-art approaches on small, well-annotated collections, and it can successfully filter irrelevant documents and identify events in large and noisy social media collections. An extensive evaluation using Amazon’s Mechanical Turk demonstrated the increased accuracy and high precision of KeyGraph, as well as superior runtime performance compared to other solutions.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/60972265" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="886b46d00207daa00ab82fc876ba0d02" rel="nofollow" data-download="{"attachment_id":74251946,"asset_id":60972265,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74251946/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38499390" href="https://umd.academia.edu/LouiqaRaschid">Louiqa Raschid</a><script data-card-contents-for-user="38499390" type="text/json">{"id":38499390,"first_name":"Louiqa","last_name":"Raschid","domain_name":"umd","page_name":"LouiqaRaschid","display_name":"Louiqa Raschid","profile_url":"https://umd.academia.edu/LouiqaRaschid?f_ri=9191","photo":"https://0.academia-photos.com/38499390/10701149/11946267/s65_louiqa.raschid.jpg_oh_81cf24db951df5f4d40e6281a70e904f_oe_56b55570"}</script></span></span></li><li class="js-paper-rank-work_60972265 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="60972265"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 60972265, container: ".js-paper-rank-work_60972265", }); 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KeyGraph is an efficient method that improves on current solutions by considering keyword cooccurrence. We show that KeyGraph has similar accuracy when compared to state-of-the-art approaches on small, well-annotated collections, and it can successfully filter irrelevant documents and identify events in large and noisy social media collections. An extensive evaluation using Amazon’s Mechanical Turk demonstrated the increased accuracy and high precision of KeyGraph, as well as superior runtime performance compared to other solutions.","downloadable_attachments":[{"id":74251946,"asset_id":60972265,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38499390,"first_name":"Louiqa","last_name":"Raschid","domain_name":"umd","page_name":"LouiqaRaschid","display_name":"Louiqa Raschid","profile_url":"https://umd.academia.edu/LouiqaRaschid?f_ri=9191","photo":"https://0.academia-photos.com/38499390/10701149/11946267/s65_louiqa.raschid.jpg_oh_81cf24db951df5f4d40e6281a70e904f_oe_56b55570"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=9191","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=9191","nofollow":false},{"id":440,"name":"Distributed 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technology","url":"https://www.academia.edu/Documents/in/Information_and_Communication_technology-1?f_ri=9191"},{"id":25696,"name":"College student development","url":"https://www.academia.edu/Documents/in/College_student_development?f_ri=9191"},{"id":62436,"name":"Interviews","url":"https://www.academia.edu/Documents/in/Interviews?f_ri=9191"},{"id":100231,"name":"Text Messaging","url":"https://www.academia.edu/Documents/in/Text_Messaging?f_ri=9191"},{"id":165585,"name":"Qualitative Study","url":"https://www.academia.edu/Documents/in/Qualitative_Study?f_ri=9191"},{"id":238160,"name":"relational Learning","url":"https://www.academia.edu/Documents/in/relational_Learning?f_ri=9191"},{"id":952335,"name":"Handheld Devices","url":"https://www.academia.edu/Documents/in/Handheld_Devices?f_ri=9191"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet?f_ri=9191"},{"id":1425636,"name":"Social Networking Sites","url":"https://www.academia.edu/Documents/in/Social_Networking_Sites?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73023710" data-work_id="73023710" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73023710/Indonesia_Tourism_Enterprises_Stock_Returns_Research_Looking_Back_and_Moving_Forward">Indonesia Tourism Enterprises' Stock Returns Research: Looking Back and Moving Forward</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The objective of this research is to compare movement of stock return literature on companies in the tourism sector and other businesses. This study also analyzed comprehensively the relationship between contexts built on the literature.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73023710" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The objective of this research is to compare movement of stock return literature on companies in the tourism sector and other businesses. This study also analyzed comprehensively the relationship between contexts built on the literature. The mix method approach is adopted by combining text mining methods, which are analyzed using network and content analysis methods. The scientific literature was collected using the web scraping method on Litmaps and selected 200 articles and only used 195 articles (between 2000-2021) related to the topic of stock returns and 23 (between 2013-2020) related to the tourism company sector. In the process of data analysis and visualization, this study uses AntConc, RStudio, and Gephi software. This review discovered that in terms of topic and context, stock return studies discuss issues related to the influence of fundamental factors on stock returns, and vice versa, while the approach used is mostly quantitative based on the financial performance reports. Regarding the frequency of appearance, this result revealed that the effects of fundamental factors on stock returns in tourism companies can be translated into a number of strategic issues, including Current Ratio, TATO, ROE, FATO, and Systematic Risk, which provide a significant and positive effect on Direct Share Prices. Furthermore, the Current Ratio, TATO, ROE, and FATO are thought to have a significant and positive effect on stock returns via Systematic Risk. The scope of this research is limited to the<br />national journal (Indonesia) on the Litmaps search engine. In theory, the results of this research can be used as a comparison and considerations related to previous studies, as well as what investigation requires to be done immediately, in the context of tourism companies' stock returns. The literature study on the tourism companies’ stock returns issue is perhaps the first systematic literature review in Indonesia.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73023710" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="72def9d0520754f4114fa8750afa2b73" rel="nofollow" data-download="{"attachment_id":81710547,"asset_id":73023710,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81710547/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="50704286" href="https://sahid.academia.edu/KadekWiweka">Kadek Wiweka</a><script data-card-contents-for-user="50704286" type="text/json">{"id":50704286,"first_name":"Kadek","last_name":"Wiweka","domain_name":"sahid","page_name":"KadekWiweka","display_name":"Kadek Wiweka","profile_url":"https://sahid.academia.edu/KadekWiweka?f_ri=9191","photo":"https://0.academia-photos.com/50704286/13390380/14614938/s65_kadek.wiweka.jpg"}</script></span></span></li><li class="js-paper-rank-work_73023710 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73023710"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73023710, container: ".js-paper-rank-work_73023710", }); 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$(".js-view-count[data-work-id=73023710]").text(description); $(".js-view-count-work_73023710").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_73023710").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="73023710"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="909" href="https://www.academia.edu/Documents/in/Tourism_Studies">Tourism Studies</a>, <script data-card-contents-for-ri="909" type="text/json">{"id":909,"name":"Tourism Studies","url":"https://www.academia.edu/Documents/in/Tourism_Studies?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2418" href="https://www.academia.edu/Documents/in/Literature">Literature</a>, <script data-card-contents-for-ri="2418" type="text/json">{"id":2418,"name":"Literature","url":"https://www.academia.edu/Documents/in/Literature?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3390" href="https://www.academia.edu/Documents/in/Tourism_economics">Tourism economics</a><script data-card-contents-for-ri="3390" type="text/json">{"id":3390,"name":"Tourism economics","url":"https://www.academia.edu/Documents/in/Tourism_economics?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=73023710]'), work: {"id":73023710,"title":"Indonesia Tourism Enterprises' Stock Returns Research: Looking Back and Moving Forward","created_at":"2022-03-04T05:23:03.442-08:00","url":"https://www.academia.edu/73023710/Indonesia_Tourism_Enterprises_Stock_Returns_Research_Looking_Back_and_Moving_Forward?f_ri=9191","dom_id":"work_73023710","summary":"The objective of this research is to compare movement of stock return literature on companies in the tourism sector and other businesses. This study also analyzed comprehensively the relationship between contexts built on the literature. The mix method approach is adopted by combining text mining methods, which are analyzed using network and content analysis methods. The scientific literature was collected using the web scraping method on Litmaps and selected 200 articles and only used 195 articles (between 2000-2021) related to the topic of stock returns and 23 (between 2013-2020) related to the tourism company sector. In the process of data analysis and visualization, this study uses AntConc, RStudio, and Gephi software. This review discovered that in terms of topic and context, stock return studies discuss issues related to the influence of fundamental factors on stock returns, and vice versa, while the approach used is mostly quantitative based on the financial performance reports. Regarding the frequency of appearance, this result revealed that the effects of fundamental factors on stock returns in tourism companies can be translated into a number of strategic issues, including Current Ratio, TATO, ROE, FATO, and Systematic Risk, which provide a significant and positive effect on Direct Share Prices. Furthermore, the Current Ratio, TATO, ROE, and FATO are thought to have a significant and positive effect on stock returns via Systematic Risk. The scope of this research is limited to the\nnational journal (Indonesia) on the Litmaps search engine. In theory, the results of this research can be used as a comparison and considerations related to previous studies, as well as what investigation requires to be done immediately, in the context of tourism companies' stock returns. The literature study on the tourism companies’ stock returns issue is perhaps the first systematic literature review in Indonesia.","downloadable_attachments":[{"id":81710547,"asset_id":73023710,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":50704286,"first_name":"Kadek","last_name":"Wiweka","domain_name":"sahid","page_name":"KadekWiweka","display_name":"Kadek Wiweka","profile_url":"https://sahid.academia.edu/KadekWiweka?f_ri=9191","photo":"https://0.academia-photos.com/50704286/13390380/14614938/s65_kadek.wiweka.jpg"}],"research_interests":[{"id":909,"name":"Tourism Studies","url":"https://www.academia.edu/Documents/in/Tourism_Studies?f_ri=9191","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=9191","nofollow":false},{"id":2418,"name":"Literature","url":"https://www.academia.edu/Documents/in/Literature?f_ri=9191","nofollow":false},{"id":3390,"name":"Tourism economics","url":"https://www.academia.edu/Documents/in/Tourism_economics?f_ri=9191","nofollow":false},{"id":5639,"name":"Text Mining","url":"https://www.academia.edu/Documents/in/Text_Mining?f_ri=9191"},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191"},{"id":22876,"name":"Economics of Tourism","url":"https://www.academia.edu/Documents/in/Economics_of_Tourism?f_ri=9191"},{"id":43883,"name":"Tourism","url":"https://www.academia.edu/Documents/in/Tourism?f_ri=9191"},{"id":72723,"name":"Stock Return","url":"https://www.academia.edu/Documents/in/Stock_Return?f_ri=9191"},{"id":150568,"name":"Yield Management in Hotels and Tourism Enterprises","url":"https://www.academia.edu/Documents/in/Yield_Management_in_Hotels_and_Tourism_Enterprises?f_ri=9191"},{"id":166450,"name":"Finance \u0026 Tourism","url":"https://www.academia.edu/Documents/in/Finance_and_Tourism?f_ri=9191"},{"id":411613,"name":"eTourism: Information technology for strategic tourism management","url":"https://www.academia.edu/Documents/in/eTourism_Information_technology_for_strategic_tourism_management?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69249476" data-work_id="69249476" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69249476/Migration_Data_and_Matrix_Methods_Deriving_the_Network_of_U_S_Central_Places">Migration Data and Matrix Methods: Deriving the Network of U.S. Central Places</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Inter-county flows of commuters have long been used by the Bureau of the Census to identify MSAs and by the BEA to identify its Economic Areas. This paper looks at U.S. interregional flows of commuters, population, and goods in an effort... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69249476" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Inter-county flows of commuters have long been used by the Bureau of the Census to identify MSAs and by the BEA to identify its Economic Areas. This paper looks at U.S. interregional flows of commuters, population, and goods in an effort to identify broader patterns of relationships among U.S. regions. A region’s primary flow up the central place hierarchy is found using tools commonly employed in Social Network Analysis. The results allow classification of regions in two ways: 1) as levels in a hierarchy; or 2) as a member of a group of regions all tied to the same member of the next-highest level of the hierarchy.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69249476" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b6b03d7b0c6b3a37bbf3fad841a12059" rel="nofollow" data-download="{"attachment_id":79416933,"asset_id":69249476,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79416933/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2794" href="https://mtsu.academia.edu/EAnthonEff">E. Anthon Eff</a><script data-card-contents-for-user="2794" type="text/json">{"id":2794,"first_name":"E. Anthon","last_name":"Eff","domain_name":"mtsu","page_name":"EAnthonEff","display_name":"E. Anthon Eff","profile_url":"https://mtsu.academia.edu/EAnthonEff?f_ri=9191","photo":"https://0.academia-photos.com/2794/1227/1321/s65_e._anthon.eff.jpg"}</script></span></span></li><li class="js-paper-rank-work_69249476 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69249476"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69249476, container: ".js-paper-rank-work_69249476", }); });</script></li><li class="js-percentile-work_69249476 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69249476; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_69249476"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_69249476 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="69249476"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69249476; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69249476]").text(description); $(".js-view-count-work_69249476").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_69249476").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="69249476"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="261" href="https://www.academia.edu/Documents/in/Geography">Geography</a>, <script data-card-contents-for-ri="261" type="text/json">{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4850" href="https://www.academia.edu/Documents/in/Migration">Migration</a>, <script data-card-contents-for-ri="4850" type="text/json">{"id":4850,"name":"Migration","url":"https://www.academia.edu/Documents/in/Migration?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="129770" href="https://www.academia.edu/Documents/in/Key_words">Key words</a><script data-card-contents-for-ri="129770" type="text/json">{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69249476]'), work: {"id":69249476,"title":"Migration Data and Matrix Methods: Deriving the Network of U.S. Central Places","created_at":"2022-01-23T06:23:47.380-08:00","url":"https://www.academia.edu/69249476/Migration_Data_and_Matrix_Methods_Deriving_the_Network_of_U_S_Central_Places?f_ri=9191","dom_id":"work_69249476","summary":"Inter-county flows of commuters have long been used by the Bureau of the Census to identify MSAs and by the BEA to identify its Economic Areas. 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Anthon Eff","profile_url":"https://mtsu.academia.edu/EAnthonEff?f_ri=9191","photo":"https://0.academia-photos.com/2794/1227/1321/s65_e._anthon.eff.jpg"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography?f_ri=9191","nofollow":false},{"id":4850,"name":"Migration","url":"https://www.academia.edu/Documents/in/Migration?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words?f_ri=9191","nofollow":false},{"id":399652,"name":"Central Place Theory","url":"https://www.academia.edu/Documents/in/Central_Place_Theory?f_ri=9191"},{"id":631704,"name":"Social Network Analysis","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis?f_ri=9191"},{"id":1190911,"name":"R","url":"https://www.academia.edu/Documents/in/R?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68663433" data-work_id="68663433" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68663433/The_EPNet_Project_Production_and_distribution_of_food_during_the_Roman_Empire_Economics_and_Political_Dynamics">The EPNet Project. Production and distribution of food during the Roman Empire: Economics and Political Dynamics</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The EPNet project aims to examine the framework of the Roman economic organisation and its networks by analysing epigraphical data from amphorae. This aim is to be realised through complex network analysis, model building and computer... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68663433" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The EPNet project aims to examine the framework of the Roman economic organisation and its networks by analysing epigraphical data from amphorae. This aim is to be realised through complex network analysis, model building and computer simulation. The objective is to create an experimental laboratory for the exploration, validation and refutation of historical theories, and the formulation of new ones.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68663433" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c63e7265eef93564d63698e01fe5a0d0" rel="nofollow" data-download="{"attachment_id":79066707,"asset_id":68663433,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79066707/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1231235" href="https://ugr.academia.edu/DanielMart%C3%ADnArroyo">Daniel Martín-Arroyo</a><script data-card-contents-for-user="1231235" type="text/json">{"id":1231235,"first_name":"Daniel","last_name":"Martín-Arroyo","domain_name":"ugr","page_name":"DanielMartínArroyo","display_name":"Daniel Martín-Arroyo","profile_url":"https://ugr.academia.edu/DanielMart%C3%ADnArroyo?f_ri=9191","photo":"https://0.academia-photos.com/1231235/446859/108333304/s65_daniel.mart_n-arroyo.jpg"}</script></span></span></li><li class="js-paper-rank-work_68663433 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68663433"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68663433, container: ".js-paper-rank-work_68663433", }); 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u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The article provides basic information about operations research, introduces the experience of selected applications in terms of the Fire Rescue Service of the Czech Republic presents possible directions for further usage in favor of the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_38414841" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The article provides basic information about operations research, introduces the experience of selected applications in terms of the Fire Rescue Service of the Czech Republic presents possible directions for further usage in favor of the development of the security system of the Czech Republic.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button 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type="text/json">{"id":145,"name":"Biochemistry","url":"https://www.academia.edu/Documents/in/Biochemistry?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="154" href="https://www.academia.edu/Documents/in/Endocrinology">Endocrinology</a><script data-card-contents-for-ri="154" type="text/json">{"id":154,"name":"Endocrinology","url":"https://www.academia.edu/Documents/in/Endocrinology?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7826535]'), work: {"id":7826535,"title":"Network Analysis Tools: from biological networks to 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})();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_12588803" data-work_id="12588803" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/12588803/Politiche_per_linnovazione_dalla_valutazione_alla_progettazione">Politiche per l'innovazione: dalla valutazione alla progettazione</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We discuss how the outcomes of policy evaluation processes can provide valuable feedback in order to design more effective policy interventions. We address our analysis to policies directed at promoting innovation by fostering generative... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_12588803" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We discuss how the outcomes of policy evaluation processes can provide valuable feedback in order to design more effective policy interventions. We address our analysis to policies directed at promoting innovation by fostering generative relationships among heterogeneous ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/12588803" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b8a967d6cb46e362697a56242646f2c4" rel="nofollow" data-download="{"attachment_id":46067218,"asset_id":12588803,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46067218/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1248956" href="https://birkbeck.academia.edu/FedericaRossi">Federica Rossi</a><script data-card-contents-for-user="1248956" type="text/json">{"id":1248956,"first_name":"Federica","last_name":"Rossi","domain_name":"birkbeck","page_name":"FedericaRossi","display_name":"Federica Rossi","profile_url":"https://birkbeck.academia.edu/FedericaRossi?f_ri=9191","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_12588803 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="12588803"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 12588803, container: ".js-paper-rank-work_12588803", }); });</script></li><li class="js-percentile-work_12588803 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 12588803; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_12588803"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_12588803 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="12588803"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 12588803; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=12588803]").text(description); $(".js-view-count-work_12588803").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_12588803").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="12588803"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="634" href="https://www.academia.edu/Documents/in/General_Practice">General Practice</a>, <script data-card-contents-for-ri="634" type="text/json">{"id":634,"name":"General Practice","url":"https://www.academia.edu/Documents/in/General_Practice?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4423" href="https://www.academia.edu/Documents/in/Monitoring_And_Evaluation">Monitoring And Evaluation</a>, <script data-card-contents-for-ri="4423" type="text/json">{"id":4423,"name":"Monitoring And Evaluation","url":"https://www.academia.edu/Documents/in/Monitoring_And_Evaluation?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4491" href="https://www.academia.edu/Documents/in/Innovation_Policy">Innovation Policy</a>, <script data-card-contents-for-ri="4491" type="text/json">{"id":4491,"name":"Innovation Policy","url":"https://www.academia.edu/Documents/in/Innovation_Policy?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8317" href="https://www.academia.edu/Documents/in/Local_Development">Local Development</a><script data-card-contents-for-ri="8317" type="text/json">{"id":8317,"name":"Local Development","url":"https://www.academia.edu/Documents/in/Local_Development?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=12588803]'), work: {"id":12588803,"title":"Politiche per l'innovazione: dalla valutazione alla progettazione","created_at":"2015-05-25T14:19:41.386-07:00","url":"https://www.academia.edu/12588803/Politiche_per_linnovazione_dalla_valutazione_alla_progettazione?f_ri=9191","dom_id":"work_12588803","summary":"We discuss how the outcomes of policy evaluation processes can provide valuable feedback in order to design more effective policy interventions. We address our analysis to policies directed at promoting innovation by fostering generative relationships among heterogeneous ...","downloadable_attachments":[{"id":46067218,"asset_id":12588803,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1248956,"first_name":"Federica","last_name":"Rossi","domain_name":"birkbeck","page_name":"FedericaRossi","display_name":"Federica Rossi","profile_url":"https://birkbeck.academia.edu/FedericaRossi?f_ri=9191","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":634,"name":"General Practice","url":"https://www.academia.edu/Documents/in/General_Practice?f_ri=9191","nofollow":false},{"id":4423,"name":"Monitoring And Evaluation","url":"https://www.academia.edu/Documents/in/Monitoring_And_Evaluation?f_ri=9191","nofollow":false},{"id":4491,"name":"Innovation Policy","url":"https://www.academia.edu/Documents/in/Innovation_Policy?f_ri=9191","nofollow":false},{"id":8317,"name":"Local Development","url":"https://www.academia.edu/Documents/in/Local_Development?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191"},{"id":12047,"name":"Regional development","url":"https://www.academia.edu/Documents/in/Regional_development?f_ri=9191"},{"id":313252,"name":"Policy Evaluation","url":"https://www.academia.edu/Documents/in/Policy_Evaluation?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8295316" data-work_id="8295316" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8295316/Public_Deliberation_Network_Analysis_and_the_Political_Integration_of_Muslims_Living_in_Britain">Public Deliberation, Network Analysis and the Political Integration of Muslims Living in Britain.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this article, we examine the assumption that, insofar as actors deliberate well, political integration will follow. We do so specifically with respect to the political integration of Muslims in the field of ethnic relations in Britain,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8295316" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this article, we examine the assumption that, insofar as actors deliberate well, political integration will follow. We do so specifically with respect to the political integration of Muslims in the field of ethnic relations in Britain, using data retrieved from two quality British broadsheets. Our approach has two components. First, we consider the quality of the deliberative interventions actors make, comparing Muslim actors with other actors. Second, we use measures drawn from network analysis to assess the level of political integration as indicated by the ties that those deliberative interventions forge. Our findings show that the link between how Muslim actors deliberate and their political integration in the field is more complex that one might assume. Although Muslims do not deliberate as well as normative deliberative theory says they should, empirically they are politically integrated, having forged diverse relationships that avoid the danger of polarisation.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8295316" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b39fd5ce766293f19faa2468a03c63b7" rel="nofollow" data-download="{"attachment_id":34706255,"asset_id":8295316,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34706255/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15211082" href="https://newcastle-au.academia.edu/IanOFlynn">Ian O'Flynn</a><script data-card-contents-for-user="15211082" type="text/json">{"id":15211082,"first_name":"Ian","last_name":"O'Flynn","domain_name":"newcastle-au","page_name":"IanOFlynn","display_name":"Ian O'Flynn","profile_url":"https://newcastle-au.academia.edu/IanOFlynn?f_ri=9191","photo":"https://0.academia-photos.com/15211082/4103997/4784050/s65_ian.o_flynn.jpg"}</script></span></span></li><li class="js-paper-rank-work_8295316 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8295316"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8295316, container: ".js-paper-rank-work_8295316", }); });</script></li><li class="js-percentile-work_8295316 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8295316; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8295316"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8295316 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8295316"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8295316; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8295316]").text(description); $(".js-view-count-work_8295316").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8295316").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8295316"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1233" href="https://www.academia.edu/Documents/in/Social_Networks">Social Networks</a>, <script data-card-contents-for-ri="1233" type="text/json">{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5453" href="https://www.academia.edu/Documents/in/Race_and_Ethnicity">Race and Ethnicity</a>, <script data-card-contents-for-ri="5453" type="text/json">{"id":5453,"name":"Race and Ethnicity","url":"https://www.academia.edu/Documents/in/Race_and_Ethnicity?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9868" href="https://www.academia.edu/Documents/in/Deliberative_Democracy">Deliberative Democracy</a><script data-card-contents-for-ri="9868" type="text/json">{"id":9868,"name":"Deliberative Democracy","url":"https://www.academia.edu/Documents/in/Deliberative_Democracy?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8295316]'), work: {"id":8295316,"title":"Public Deliberation, Network Analysis and the Political Integration of Muslims Living in Britain.","created_at":"2014-09-11T20:44:29.584-07:00","url":"https://www.academia.edu/8295316/Public_Deliberation_Network_Analysis_and_the_Political_Integration_of_Muslims_Living_in_Britain?f_ri=9191","dom_id":"work_8295316","summary":"In this article, we examine the assumption that, insofar as actors deliberate well, political integration will follow. We do so specifically with respect to the political integration of Muslims in the field of ethnic relations in Britain, using data retrieved from two quality British broadsheets. Our approach has two components. First, we consider the quality of the deliberative interventions actors make, comparing Muslim actors with other actors. Second, we use measures drawn from network analysis to assess the level of political integration as indicated by the ties that those deliberative interventions forge. Our findings show that the link between how Muslim actors deliberate and their political integration in the field is more complex that one might assume. Although Muslims do not deliberate as well as normative deliberative theory says they should, empirically they are politically integrated, having forged diverse relationships that avoid the danger of polarisation.","downloadable_attachments":[{"id":34706255,"asset_id":8295316,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15211082,"first_name":"Ian","last_name":"O'Flynn","domain_name":"newcastle-au","page_name":"IanOFlynn","display_name":"Ian O'Flynn","profile_url":"https://newcastle-au.academia.edu/IanOFlynn?f_ri=9191","photo":"https://0.academia-photos.com/15211082/4103997/4784050/s65_ian.o_flynn.jpg"}],"research_interests":[{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false},{"id":5453,"name":"Race and Ethnicity","url":"https://www.academia.edu/Documents/in/Race_and_Ethnicity?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":9868,"name":"Deliberative Democracy","url":"https://www.academia.edu/Documents/in/Deliberative_Democracy?f_ri=9191","nofollow":false},{"id":60827,"name":"Social cohesion","url":"https://www.academia.edu/Documents/in/Social_cohesion?f_ri=9191"},{"id":434444,"name":"Political Integration","url":"https://www.academia.edu/Documents/in/Political_Integration?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1864823" data-work_id="1864823" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1864823/The_Failure_Trace_Archive_Enabling_comparative_analysis_of_failures_in_diverse_distributed_systems">The Failure Trace Archive: Enabling comparative analysis of failures in diverse distributed systems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">With the increasing functionality and complexity of distributed systems, resource failures are inevitable. While numerous models and algorithms for dealing with failures exist, the lack of public trace data sets and tools has prevented... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1864823" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">With the increasing functionality and complexity of distributed systems, resource failures are inevitable. While numerous models and algorithms for dealing with failures exist, the lack of public trace data sets and tools has prevented meaningful comparisons. To facilitate the design, validation, and comparison of fault-tolerant models and algorithms, we have created the Failure Trace Archive (FTA) as an online public repository of availability traces taken from diverse parallel and distributed systems. Our main contributions in this study are the following. First, we describe the design of the archive, in particular the rationale of the standard FTA format, and the design of a toolbox that facilitates automated analysis of trace data sets. Second, applying the toolbox, we present a uniform comparative analysis with statistics and models of failures in nine distributed systems. Third, we show how different interpretations of these data sets can result in different conclusions. This emphasizes the critical need for the public availability of trace data and methods for their analysis.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1864823" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a93462c291080d3a89eec055634deb7b" rel="nofollow" data-download="{"attachment_id":26250471,"asset_id":1864823,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/26250471/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2324913" href="https://tudelft.academia.edu/AlexandruIosup">Alexandru Iosup</a><script data-card-contents-for-user="2324913" type="text/json">{"id":2324913,"first_name":"Alexandru","last_name":"Iosup","domain_name":"tudelft","page_name":"AlexandruIosup","display_name":"Alexandru Iosup","profile_url":"https://tudelft.academia.edu/AlexandruIosup?f_ri=9191","photo":"https://0.academia-photos.com/2324913/734980/912507/s65_alexandru.iosup.jpg"}</script></span></span></li><li class="js-paper-rank-work_1864823 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1864823"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1864823, container: ".js-paper-rank-work_1864823", }); 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While numerous models and algorithms for dealing with failures exist, the lack of public trace data sets and tools has prevented meaningful comparisons. To facilitate the design, validation, and comparison of fault-tolerant models and algorithms, we have created the Failure Trace Archive (FTA) as an online public repository of availability traces taken from diverse parallel and distributed systems. Our main contributions in this study are the following. First, we describe the design of the archive, in particular the rationale of the standard FTA format, and the design of a toolbox that facilitates automated analysis of trace data sets. Second, applying the toolbox, we present a uniform comparative analysis with statistics and models of failures in nine distributed systems. Third, we show how different interpretations of these data sets can result in different conclusions. This emphasizes the critical need for the public availability of trace data and methods for their analysis.","downloadable_attachments":[{"id":26250471,"asset_id":1864823,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2324913,"first_name":"Alexandru","last_name":"Iosup","domain_name":"tudelft","page_name":"AlexandruIosup","display_name":"Alexandru Iosup","profile_url":"https://tudelft.academia.edu/AlexandruIosup?f_ri=9191","photo":"https://0.academia-photos.com/2324913/734980/912507/s65_alexandru.iosup.jpg"}],"research_interests":[{"id":440,"name":"Distributed Computing","url":"https://www.academia.edu/Documents/in/Distributed_Computing?f_ri=9191","nofollow":false},{"id":441,"name":"Grid Computing","url":"https://www.academia.edu/Documents/in/Grid_Computing?f_ri=9191","nofollow":false},{"id":443,"name":"High Performance 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coauthored" data-work_id="3545033" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3545033/The_Drug_Prescription_Process_A_Network_Medicine_Approach"> The Drug Prescription Process: A Network Medicine Approach</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Chapter presents the de ﬁ nition of Network Science, and its fundamentals and attributes, the main mathematical aspects of the study of networks and the parameters, or quantitative indicators, used to study and analyze a network from... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3545033" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The Chapter presents the de ﬁ nition of Network Science, and its fundamentals and attributes, the main mathematical aspects of the study of networks and the parameters, or quantitative indicators, used to study and analyze a network from a mathematical  point  of  view.  It  introduces  the concept of “Network Medicine,” the science that studies biological and medical phenomena from the point of view of networks. <br />Then it presents a general description of international pharmaceutical expenditure and the process of medical prescribing is summarized in its principal aspects. <br />Finally, n example of a Network Medicine study in a Public Health setting is presented.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3545033" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span 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class="u-tcGrayDark u-fw700" data-has-card-for-user="361680" href="https://salerno.academia.edu/PierpaoloCavallo">Pierpaolo Cavallo</a><script data-card-contents-for-user="361680" type="text/json">{"id":361680,"first_name":"Pierpaolo","last_name":"Cavallo","domain_name":"salerno","page_name":"PierpaoloCavallo","display_name":"Pierpaolo Cavallo","profile_url":"https://salerno.academia.edu/PierpaoloCavallo?f_ri=9191","photo":"https://0.academia-photos.com/361680/194431/226709/s65_pierpaolo.cavallo.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-3545033">+1</span><div class="hidden js-additional-users-3545033"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://salerno.academia.edu/LunaCarpinelli">Luna Carpinelli</a></span></div></div></span><script>(function(){ var popoverSettings = { el: 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class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13739" href="https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_">Social Network Analysis (SNA)</a><script data-card-contents-for-ri="13739" type="text/json">{"id":13739,"name":"Social Network Analysis (SNA)","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3545033]'), work: {"id":3545033,"title":" The Drug Prescription Process: A Network Medicine 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It introduces the concept of “Network Medicine,” the science that studies biological and medical phenomena from the point of view of networks. \r\nThen it presents a general description of international pharmaceutical expenditure and the process of medical prescribing is summarized in its principal aspects. \r\nFinally, n example of a Network Medicine study in a Public Health setting is presented.","downloadable_attachments":[{"id":31264498,"asset_id":3545033,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":361680,"first_name":"Pierpaolo","last_name":"Cavallo","domain_name":"salerno","page_name":"PierpaoloCavallo","display_name":"Pierpaolo Cavallo","profile_url":"https://salerno.academia.edu/PierpaoloCavallo?f_ri=9191","photo":"https://0.academia-photos.com/361680/194431/226709/s65_pierpaolo.cavallo.jpg"},{"id":2201170,"first_name":"Luna","last_name":"Carpinelli","domain_name":"salerno","page_name":"LunaCarpinelli","display_name":"Luna Carpinelli","profile_url":"https://salerno.academia.edu/LunaCarpinelli?f_ri=9191","photo":"https://0.academia-photos.com/2201170/102056446/91219294/s65_luna.carpinelli.jpeg"}],"research_interests":[{"id":851,"name":"Complex Systems Science","url":"https://www.academia.edu/Documents/in/Complex_Systems_Science?f_ri=9191","nofollow":false},{"id":1086,"name":"Pharmacoepidemiology","url":"https://www.academia.edu/Documents/in/Pharmacoepidemiology?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":13739,"name":"Social Network Analysis (SNA)","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_?f_ri=9191","nofollow":false},{"id":16288,"name":"Public Health","url":"https://www.academia.edu/Documents/in/Public_Health?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72519428" data-work_id="72519428" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/72519428/Professional_development_of_teachers_for_computer_supported_collaborative_learning_A_knowledge_building_approach">Professional development of teachers for computer-supported collaborative learning: A knowledge-building approach</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">CSCL environment. The teachers&#x27; patterns of online interactions were analyzed through social network analysis and the interaction analysis model (IAM). Findings: Our findings indicate that the teachers formed a socially cohesive... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72519428" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">CSCL environment. The teachers&#x27; patterns of online interactions were analyzed through social network analysis and the interaction analysis model (IAM). Findings: Our findings indicate that the teachers formed a socially cohesive community and participated rather actively, ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/72519428" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="40c1a2516a157f7f44ba531fea26033b" rel="nofollow" data-download="{"attachment_id":81415098,"asset_id":72519428,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81415098/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5584124" href="https://nie-sg.academia.edu/SengCheeTan">Seng Chee Tan</a><script data-card-contents-for-user="5584124" type="text/json">{"id":5584124,"first_name":"Seng Chee","last_name":"Tan","domain_name":"nie-sg","page_name":"SengCheeTan","display_name":"Seng Chee Tan","profile_url":"https://nie-sg.academia.edu/SengCheeTan?f_ri=9191","photo":"https://0.academia-photos.com/5584124/2714456/88474480/s65_seng_chee.tan.jpg"}</script></span></span></li><li class="js-paper-rank-work_72519428 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="72519428"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 72519428, container: ".js-paper-rank-work_72519428", }); 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$(".js-view-count[data-work-id=72519428]").text(description); $(".js-view-count-work_72519428").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_72519428").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="72519428"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1003" href="https://www.academia.edu/Documents/in/Educational_Technology">Educational Technology</a>, <script data-card-contents-for-ri="1003" type="text/json">{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1233" href="https://www.academia.edu/Documents/in/Social_Networks">Social Networks</a>, <script data-card-contents-for-ri="1233" type="text/json">{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7099" href="https://www.academia.edu/Documents/in/Case_Studies">Case Studies</a>, <script data-card-contents-for-ri="7099" type="text/json">{"id":7099,"name":"Case Studies","url":"https://www.academia.edu/Documents/in/Case_Studies?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9032" href="https://www.academia.edu/Documents/in/Interaction">Interaction</a><script data-card-contents-for-ri="9032" type="text/json">{"id":9032,"name":"Interaction","url":"https://www.academia.edu/Documents/in/Interaction?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=72519428]'), work: {"id":72519428,"title":"Professional development of teachers for computer-supported collaborative learning: A knowledge-building approach","created_at":"2022-02-26T18:03:33.797-08:00","url":"https://www.academia.edu/72519428/Professional_development_of_teachers_for_computer_supported_collaborative_learning_A_knowledge_building_approach?f_ri=9191","dom_id":"work_72519428","summary":"CSCL environment. The teachers\u0026#x27; patterns of online interactions were analyzed through social network analysis and the interaction analysis model (IAM). Findings: Our findings indicate that the teachers formed a socially cohesive community and participated rather actively, ...","downloadable_attachments":[{"id":81415098,"asset_id":72519428,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5584124,"first_name":"Seng Chee","last_name":"Tan","domain_name":"nie-sg","page_name":"SengCheeTan","display_name":"Seng Chee Tan","profile_url":"https://nie-sg.academia.edu/SengCheeTan?f_ri=9191","photo":"https://0.academia-photos.com/5584124/2714456/88474480/s65_seng_chee.tan.jpg"}],"research_interests":[{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology?f_ri=9191","nofollow":false},{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=9191","nofollow":false},{"id":7099,"name":"Case Studies","url":"https://www.academia.edu/Documents/in/Case_Studies?f_ri=9191","nofollow":false},{"id":9032,"name":"Interaction","url":"https://www.academia.edu/Documents/in/Interaction?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191"},{"id":11006,"name":"Computer Mediated Communication","url":"https://www.academia.edu/Documents/in/Computer_Mediated_Communication?f_ri=9191"},{"id":17769,"name":"Professional Development","url":"https://www.academia.edu/Documents/in/Professional_Development?f_ri=9191"},{"id":55439,"name":"Cooperative Learning","url":"https://www.academia.edu/Documents/in/Cooperative_Learning?f_ri=9191"},{"id":64592,"name":"Learning theories","url":"https://www.academia.edu/Documents/in/Learning_theories?f_ri=9191"},{"id":251886,"name":"Participant Observation","url":"https://www.academia.edu/Documents/in/Participant_Observation?f_ri=9191"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69718288" data-work_id="69718288" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69718288/Determination_of_Optimal_Duration_and_Labour_Cost_of_Overhauling_ABB_Type_13D_Gas_Turbine_Using_Network_Analysis">Determination of Optimal Duration and Labour Cost of Overhauling ABB Type 13D Gas Turbine Using Network Analysis</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Network analysis technique was used in this study to establish the optimal duration and labour cost of overhauling ABB type 13D gas turbine in Nigeria as well as the critical jobs that required adequate management attention/supervision in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69718288" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Network analysis technique was used in this study to establish the optimal duration and labour cost of overhauling ABB type 13D gas turbine in Nigeria as well as the critical jobs that required adequate management attention/supervision in order to check corrupt upward review of project cost that characterized this sector resulting from intentional delays in the execution of turbine overhauling projects in this country. Results showed one thousand, two hundred and forty- three (1243) hours or approximately 155.38 days (at 8 working hours per day) and four million, twelve thousand and five hundred</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69718288" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4498e3ca2e06ecca852eb4be84e1dc49" rel="nofollow" data-download="{"attachment_id":79706812,"asset_id":69718288,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79706812/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15965760" href="https://independent.academia.edu/nwankwojikenduka">nwankwojike nduka</a><script data-card-contents-for-user="15965760" type="text/json">{"id":15965760,"first_name":"nwankwojike","last_name":"nduka","domain_name":"independent","page_name":"nwankwojikenduka","display_name":"nwankwojike nduka","profile_url":"https://independent.academia.edu/nwankwojikenduka?f_ri=9191","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_69718288 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69718288"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69718288, container: ".js-paper-rank-work_69718288", }); 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Results showed one thousand, two hundred and forty- three (1243) hours or approximately 155.38 days (at 8 working hours per day) and four million, twelve thousand and five hundred","downloadable_attachments":[{"id":79706812,"asset_id":69718288,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15965760,"first_name":"nwankwojike","last_name":"nduka","domain_name":"independent","page_name":"nwankwojikenduka","display_name":"nwankwojike nduka","profile_url":"https://independent.academia.edu/nwankwojikenduka?f_ri=9191","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":17196,"name":"GAS TURBINE","url":"https://www.academia.edu/Documents/in/GAS_TURBINE?f_ri=9191","nofollow":false},{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words?f_ri=9191","nofollow":false},{"id":886971,"name":"Electricity 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Network","url":"https://www.academia.edu/Documents/in/Electrical_Network?f_ri=9191"},{"id":3296502,"name":"Excitation","url":"https://www.academia.edu/Documents/in/Excitation?f_ri=9191"},{"id":3676475,"name":"Active Networks","url":"https://www.academia.edu/Documents/in/Active_Networks?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1148108" data-work_id="1148108" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1148108/Estimating_catchment_area_population_indicators_using_network_analysis_an_application_to_two_small_scale_forests_in_County_Galway">Estimating catchment area population indicators using network analysis: an application to two small-scale forests in County Galway</a></div></div><div 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SCoT represents the meanings of a word as clusters of similar words. It visualises their formation, change, and demise. There are two... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_76294455" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We present Sense Clustering over Time (SCoT), a novel network-based tool for analysing lexical change. SCoT represents the meanings of a word as clusters of similar words. It visualises their formation, change, and demise. There are two main approaches to the exploration of dynamic networks: the discrete one compares a series of clustered graphs from separate points in time. The continuous one analyses the changes of one dynamic network over a time-span. SCoT offers a new hybrid solution. First, it aggregates time-stamped documents into intervals and calculates one sense graph per discrete interval. Then, it merges the static graphs to a new type of dynamic semantic neighbourhood graph over time. The resulting sense clusters offer uniquely detailed insights into lexical change over continuous intervals with model transparency and provenance. SCoT has been successfully used in a European study on the changing meaning of ‘crisis’.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/76294455" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2942e6bc2d3835c161b187a1bbbc9148" rel="nofollow" data-download="{"attachment_id":84045511,"asset_id":76294455,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84045511/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="846230" href="https://tu-darmstadt.academia.edu/AlexanderFriedrich">Alexander Friedrich</a><script data-card-contents-for-user="846230" type="text/json">{"id":846230,"first_name":"Alexander","last_name":"Friedrich","domain_name":"tu-darmstadt","page_name":"AlexanderFriedrich","display_name":"Alexander Friedrich","profile_url":"https://tu-darmstadt.academia.edu/AlexanderFriedrich?f_ri=9191","photo":"https://0.academia-photos.com/846230/299335/158950463/s65_alexander.friedrich.jpg"}</script></span></span></li><li class="js-paper-rank-work_76294455 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="76294455"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 76294455, container: ".js-paper-rank-work_76294455", }); 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SCoT represents the meanings of a word as clusters of similar words. It visualises their formation, change, and demise. There are two main approaches to the exploration of dynamic networks: the discrete one compares a series of clustered graphs from separate points in time. The continuous one analyses the changes of one dynamic network over a time-span. SCoT offers a new hybrid solution. First, it aggregates time-stamped documents into intervals and calculates one sense graph per discrete interval. Then, it merges the static graphs to a new type of dynamic semantic neighbourhood graph over time. The resulting sense clusters offer uniquely detailed insights into lexical change over continuous intervals with model transparency and provenance. SCoT has been successfully used in a European study on the changing meaning of ‘crisis’.","downloadable_attachments":[{"id":84045511,"asset_id":76294455,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":846230,"first_name":"Alexander","last_name":"Friedrich","domain_name":"tu-darmstadt","page_name":"AlexanderFriedrich","display_name":"Alexander Friedrich","profile_url":"https://tu-darmstadt.academia.edu/AlexanderFriedrich?f_ri=9191","photo":"https://0.academia-photos.com/846230/299335/158950463/s65_alexander.friedrich.jpg"}],"research_interests":[{"id":1197,"name":"Digital Humanities","url":"https://www.academia.edu/Documents/in/Digital_Humanities?f_ri=9191","nofollow":false},{"id":3268,"name":"Computational Linguistics","url":"https://www.academia.edu/Documents/in/Computational_Linguistics?f_ri=9191","nofollow":false},{"id":6964,"name":"History of concepts","url":"https://www.academia.edu/Documents/in/History_of_concepts?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":126449,"name":"Computational Research in the Humanities","url":"https://www.academia.edu/Documents/in/Computational_Research_in_the_Humanities?f_ri=9191"},{"id":379878,"name":"Lexical change","url":"https://www.academia.edu/Documents/in/Lexical_change?f_ri=9191"},{"id":443245,"name":"Free Tool","url":"https://www.academia.edu/Documents/in/Free_Tool?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_64363956" data-work_id="64363956" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/64363956/The_Seeds_of_Commerce_A_network_analysis_based_approach_to_the_Romano_British_transport_system">The Seeds of Commerce: A network analysis-based approach to the Romano-British transport system</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Communication routes are an important subject in the study of the human past. They allowed interactions between communities and the dispersal of goods and ideas. Their study, therefore, can shed light on the way in which communities... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_64363956" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Communication routes are an important subject in the study of the human past. They allowed interactions between communities and the dispersal of goods and ideas. Their study, therefore, can shed light on the way in which communities inhabited the landscape, related to each other and were affected by macro-regional trends. Many methods, such as archaeomorphological analysis and Least Cost Route modelling (LCR), have been devised and are routinely employed for the reconstruction of ancient routes. Their analysis in terms of communication, trade or historical significance, however, has usually been left unexplored. This is probably due to the connected nature of routes, which form communication networks: these are shaped by interconnected nodes and extend over territories surpassing the regional scale in such a way that even a change in a single node or link can affect the whole network. Consequently, the partial reconstruction of communication networks provided by the aforementioned m...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/64363956" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fe77add622e0fe821a7903973abb43f6" rel="nofollow" data-download="{"attachment_id":76434078,"asset_id":64363956,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/76434078/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="147196249" href="https://independent.academia.edu/AlexandraLivarda">Alexandra Livarda</a><script data-card-contents-for-user="147196249" type="text/json">{"id":147196249,"first_name":"Alexandra","last_name":"Livarda","domain_name":"independent","page_name":"AlexandraLivarda","display_name":"Alexandra Livarda","profile_url":"https://independent.academia.edu/AlexandraLivarda?f_ri=9191","photo":"https://0.academia-photos.com/147196249/42145232/33914159/s65_alexandra.livarda.jpg"}</script></span></span></li><li class="js-paper-rank-work_64363956 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="64363956"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 64363956, container: ".js-paper-rank-work_64363956", }); 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They allowed interactions between communities and the dispersal of goods and ideas. Their study, therefore, can shed light on the way in which communities inhabited the landscape, related to each other and were affected by macro-regional trends. Many methods, such as archaeomorphological analysis and Least Cost Route modelling (LCR), have been devised and are routinely employed for the reconstruction of ancient routes. Their analysis in terms of communication, trade or historical significance, however, has usually been left unexplored. This is probably due to the connected nature of routes, which form communication networks: these are shaped by interconnected nodes and extend over territories surpassing the regional scale in such a way that even a change in a single node or link can affect the whole network. Consequently, the partial reconstruction of communication networks provided by the aforementioned m...","downloadable_attachments":[{"id":76434078,"asset_id":64363956,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":147196249,"first_name":"Alexandra","last_name":"Livarda","domain_name":"independent","page_name":"AlexandraLivarda","display_name":"Alexandra Livarda","profile_url":"https://independent.academia.edu/AlexandraLivarda?f_ri=9191","photo":"https://0.academia-photos.com/147196249/42145232/33914159/s65_alexandra.livarda.jpg"}],"research_interests":[{"id":392,"name":"Archaeology","url":"https://www.academia.edu/Documents/in/Archaeology?f_ri=9191","nofollow":false},{"id":407,"name":"Geochemistry","url":"https://www.academia.edu/Documents/in/Geochemistry?f_ri=9191","nofollow":false},{"id":1742,"name":"Archaeobotany","url":"https://www.academia.edu/Documents/in/Archaeobotany?f_ri=9191","nofollow":false},{"id":2795,"name":"Landscape 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genetic processes influence disease formation. Ubiquitous and advancing microarray technology can measure millions of DNA structural variants (single-nucleotide polymorphisms, or... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_76222097" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A long-term goal of biomedical research is to decipher how genetic processes influence disease formation. Ubiquitous and advancing microarray technology can measure millions of DNA structural variants (single-nucleotide polymorphisms, or SNPs) and thousands of gene transcripts (RNA expression microarrays) in cells. Both of these information modalities can be brought to bear on disease etiology. This paper develops a Bayesian network-based approach to integrate SNP and expression microarray data. The network models SNP-gene interactions using a phenotype-centric network. Inferring the network consists of two steps: variable selection and network learning. The learned network illustrates how functionally dependent SNPs and genes influence each other, and also serves as a predictor of the phenotype. The application of the proposed method to a pediatric acute lymphoblastic leukemia dataset demonstrates the feasibility of our approach and its impact on biological investigation and clinic...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/76222097" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="520d0b0963a881bae28b3541e5b02988" rel="nofollow" data-download="{"attachment_id":84014019,"asset_id":76222097,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84014019/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="121369153" href="https://independent.academia.edu/HsunHsienShaneChang">Hsun-Hsien Shane Chang</a><script data-card-contents-for-user="121369153" type="text/json">{"id":121369153,"first_name":"Hsun-Hsien Shane","last_name":"Chang","domain_name":"independent","page_name":"HsunHsienShaneChang","display_name":"Hsun-Hsien Shane Chang","profile_url":"https://independent.academia.edu/HsunHsienShaneChang?f_ri=9191","photo":"https://0.academia-photos.com/121369153/30198981/28015435/s65_hsun-hsien_shane.chang.jpg"}</script></span></span></li><li class="js-paper-rank-work_76222097 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="76222097"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 76222097, container: ".js-paper-rank-work_76222097", }); 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Ubiquitous and advancing microarray technology can measure millions of DNA structural variants (single-nucleotide polymorphisms, or SNPs) and thousands of gene transcripts (RNA expression microarrays) in cells. Both of these information modalities can be brought to bear on disease etiology. This paper develops a Bayesian network-based approach to integrate SNP and expression microarray data. The network models SNP-gene interactions using a phenotype-centric network. Inferring the network consists of two steps: variable selection and network learning. The learned network illustrates how functionally dependent SNPs and genes influence each other, and also serves as a predictor of the phenotype. 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Change</a>, <script data-card-contents-for-ri="1512" type="text/json">{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4486" href="https://www.academia.edu/Documents/in/Political_Science">Political Science</a>, <script data-card-contents-for-ri="4486" type="text/json">{"id":4486,"name":"Political Science","url":"https://www.academia.edu/Documents/in/Political_Science?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5609" href="https://www.academia.edu/Documents/in/Energy_Policy">Energy Policy</a>, <script data-card-contents-for-ri="5609" type="text/json">{"id":5609,"name":"Energy Policy","url":"https://www.academia.edu/Documents/in/Energy_Policy?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a><script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14878853]'), work: {"id":14878853,"title":"Socio-political dimensions of CCS deployment through the lens of social network analysis","created_at":"2015-08-12T08:36:51.903-07:00","url":"https://www.academia.edu/14878853/Socio_political_dimensions_of_CCS_deployment_through_the_lens_of_social_network_analysis?f_ri=9191","dom_id":"work_14878853","summary":null,"downloadable_attachments":[{"id":43813422,"asset_id":14878853,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33853015,"first_name":"Jennie","last_name":"Stephens","domain_name":"nuim","page_name":"JennieStephens","display_name":"Jennie C 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Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=9191"},{"id":115319,"name":"Carbon Capture and Storage","url":"https://www.academia.edu/Documents/in/Carbon_Capture_and_Storage?f_ri=9191"},{"id":123752,"name":"Political System","url":"https://www.academia.edu/Documents/in/Political_System?f_ri=9191"},{"id":258767,"name":"Health and Safety","url":"https://www.academia.edu/Documents/in/Health_and_Safety?f_ri=9191"},{"id":631704,"name":"Social Network Analysis","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis?f_ri=9191"},{"id":1196461,"name":"Economic Benefit","url":"https://www.academia.edu/Documents/in/Economic_Benefit?f_ri=9191"},{"id":1757137,"name":"Political Risk","url":"https://www.academia.edu/Documents/in/Political_Risk?f_ri=9191"},{"id":1798763,"name":"Environmental benefit","url":"https://www.academia.edu/Documents/in/Environmental_benefit?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_42306950" data-work_id="42306950" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/42306950/Network_Analysis_of_Behaviors_in_the_Depression_and_Autism_Realms_Inter_Relationships_and_Clinical_Implications">Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Depression-, anxiety-, OCD-and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_42306950" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Depression-, anxiety-, OCD-and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly higher "insomnia" and "restlessness" scores. Network analysis and hierarchical cluster analysis in the ASD group revealed that depression and anxiety items clustered together, but separately from autism-related items. Compared to controls, "insomnia" and "restlessness" items in the ASD network of depression items were much more central (higher closeness, and betweenness centrality). Combined networks of depression-, anxiety-, and OCD-related items revealed that the control group depression item module was not preserved in ASD. The results indicate that depression is atypical in autism and suggest specific intervention targets.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/42306950" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="726da7a3b79a8f34d3a65e29e53aabb7" rel="nofollow" data-download="{"attachment_id":62462677,"asset_id":42306950,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/62462677/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="300323" href="https://yale.academia.edu/FarhadMontazeri">Farhad Montazeri</a><script data-card-contents-for-user="300323" type="text/json">{"id":300323,"first_name":"Farhad","last_name":"Montazeri","domain_name":"yale","page_name":"FarhadMontazeri","display_name":"Farhad Montazeri","profile_url":"https://yale.academia.edu/FarhadMontazeri?f_ri=9191","photo":"https://0.academia-photos.com/300323/16836782/17080637/s65_farhad.montazeri.jpeg"}</script></span></span></li><li class="js-paper-rank-work_42306950 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="42306950"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 42306950, container: ".js-paper-rank-work_42306950", }); 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$(".js-view-count[data-work-id=42306950]").text(description); $(".js-view-count-work_42306950").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_42306950").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="42306950"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2249" href="https://www.academia.edu/Documents/in/Autism">Autism</a>, <script data-card-contents-for-ri="2249" type="text/json">{"id":2249,"name":"Autism","url":"https://www.academia.edu/Documents/in/Autism?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="234882" href="https://www.academia.edu/Documents/in/Autism_Spectrum_Disorder">Autism Spectrum Disorder</a>, <script data-card-contents-for-ri="234882" type="text/json">{"id":234882,"name":"Autism Spectrum Disorder","url":"https://www.academia.edu/Documents/in/Autism_Spectrum_Disorder?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="311947" href="https://www.academia.edu/Documents/in/Major_Depression">Major Depression</a><script data-card-contents-for-ri="311947" type="text/json">{"id":311947,"name":"Major Depression","url":"https://www.academia.edu/Documents/in/Major_Depression?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=42306950]'), work: {"id":42306950,"title":"Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications","created_at":"2020-03-24T07:51:35.072-07:00","url":"https://www.academia.edu/42306950/Network_Analysis_of_Behaviors_in_the_Depression_and_Autism_Realms_Inter_Relationships_and_Clinical_Implications?f_ri=9191","dom_id":"work_42306950","summary":"Depression-, anxiety-, OCD-and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly higher \"insomnia\" and \"restlessness\" scores. Network analysis and hierarchical cluster analysis in the ASD group revealed that depression and anxiety items clustered together, but separately from autism-related items. Compared to controls, \"insomnia\" and \"restlessness\" items in the ASD network of depression items were much more central (higher closeness, and betweenness centrality). Combined networks of depression-, anxiety-, and OCD-related items revealed that the control group depression item module was not preserved in ASD. The results indicate that depression is atypical in autism and suggest specific intervention targets.","downloadable_attachments":[{"id":62462677,"asset_id":42306950,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":300323,"first_name":"Farhad","last_name":"Montazeri","domain_name":"yale","page_name":"FarhadMontazeri","display_name":"Farhad Montazeri","profile_url":"https://yale.academia.edu/FarhadMontazeri?f_ri=9191","photo":"https://0.academia-photos.com/300323/16836782/17080637/s65_farhad.montazeri.jpeg"}],"research_interests":[{"id":2249,"name":"Autism","url":"https://www.academia.edu/Documents/in/Autism?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":234882,"name":"Autism Spectrum Disorder","url":"https://www.academia.edu/Documents/in/Autism_Spectrum_Disorder?f_ri=9191","nofollow":false},{"id":311947,"name":"Major Depression","url":"https://www.academia.edu/Documents/in/Major_Depression?f_ri=9191","nofollow":false},{"id":377724,"name":"Gaussian mixture Models","url":"https://www.academia.edu/Documents/in/Gaussian_mixture_Models?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36829008" data-work_id="36829008" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36829008/International_migration_and_official_migration_statistics_in_Hungary">International migration and official migration statistics in Hungary</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The challenges that official migration statistics face in the 21st century are manifold. In line with intensifying globalisation processes, and new patterns and types of migration, new routes and new migrant identities... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36829008" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The  challenges  that  official  migration  statistics face in the 21st century are manifold. In line with intensifying globalisation processes, and new patterns  and  types  of  migration,  new  routes  and new  migrant  identities  have  been  emerging. However,  the new trends also  offer  new, potentially usable data sources, tools, and methods for <br />the measurement of this changing phenomenon. Attempting to  provide  an  overview  of  the Hungarian migration statistical system, the aim of this paper  is  to  promote  interdisciplinary  scientific dialogue  on <br />migration  and share  some  of  the most  important  figures  and  trends  of  international  migration  in  Hungary,  highlighting  its  remarkable  geographical  aspects  in  the  European context,  and  the  peculiarities,  challenges,  and opportunities of its measurement.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36829008" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fd1c916342409443008ade8cb15eed8d" rel="nofollow" data-download="{"attachment_id":56780817,"asset_id":36829008,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/56780817/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="7292782" href="https://ksh.academia.edu/RegionalStatistics">Regional Statistics</a><script data-card-contents-for-user="7292782" type="text/json">{"id":7292782,"first_name":"Regional","last_name":"Statistics","domain_name":"ksh","page_name":"RegionalStatistics","display_name":"Regional Statistics","profile_url":"https://ksh.academia.edu/RegionalStatistics?f_ri=9191","photo":"https://0.academia-photos.com/7292782/2703898/3147784/s65_regional.statistics.jpg"}</script></span></span></li><li class="js-paper-rank-work_36829008 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36829008"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36829008, container: ".js-paper-rank-work_36829008", }); 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$(".js-view-count[data-work-id=36829008]").text(description); $(".js-view-count-work_36829008").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_36829008").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="36829008"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">46</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="261" href="https://www.academia.edu/Documents/in/Geography">Geography</a>, <script data-card-contents-for-ri="261" type="text/json">{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="262" href="https://www.academia.edu/Documents/in/Human_Geography">Human Geography</a>, <script data-card-contents-for-ri="262" type="text/json">{"id":262,"name":"Human Geography","url":"https://www.academia.edu/Documents/in/Human_Geography?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="279" href="https://www.academia.edu/Documents/in/Regional_Geography">Regional Geography</a>, <script data-card-contents-for-ri="279" type="text/json">{"id":279,"name":"Regional Geography","url":"https://www.academia.edu/Documents/in/Regional_Geography?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="728" href="https://www.academia.edu/Documents/in/Economic_Geography">Economic Geography</a><script data-card-contents-for-ri="728" type="text/json">{"id":728,"name":"Economic Geography","url":"https://www.academia.edu/Documents/in/Economic_Geography?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=36829008]'), work: {"id":36829008,"title":"International migration and official migration statistics in Hungary","created_at":"2018-06-12T05:19:23.360-07:00","url":"https://www.academia.edu/36829008/International_migration_and_official_migration_statistics_in_Hungary?f_ri=9191","dom_id":"work_36829008","summary":"The challenges that official migration statistics face in the 21st century are manifold. In line with intensifying globalisation processes, and new patterns and types of migration, new routes and new migrant identities have been emerging. However, the new trends also offer new, potentially usable data sources, tools, and methods for \nthe measurement of this changing phenomenon. Attempting to provide an overview of the Hungarian migration statistical system, the aim of this paper is to promote interdisciplinary scientific dialogue on \nmigration and share some of the most important figures and trends of international migration in Hungary, highlighting its remarkable geographical aspects in the European context, and the peculiarities, challenges, and opportunities of its measurement.","downloadable_attachments":[{"id":56780817,"asset_id":36829008,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":7292782,"first_name":"Regional","last_name":"Statistics","domain_name":"ksh","page_name":"RegionalStatistics","display_name":"Regional 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itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8424513/A_Study_of_the_Urbanizing_Pattern_in_Kegalle_District_Sri_Lanka_with_Connectivity_Analysis">A Study of the Urbanizing Pattern in Kegalle District, Sri Lanka with Connectivity Analysis</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In any geography, it is observable that locations better connected to many other locations attract urban activities and therefore, are in relatively more advantageous positions than the less connected locations in the competition for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8424513" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In any geography, it is observable that locations better connected to many other locations attract urban activities and therefore, are in relatively more advantageous positions than the less connected locations in the competition for growth. In that sense, a thorough analysis of the connectivity of different locations in a region will enable regional planners to evolve workable spatial strategies for the development of that region. The study presented in this paper is a test of this relationship between the trends of urban agglomerations and the patterns of connectivity of the urban centres in Kegalle district of Sri Lanka. The study was based on the node-axial diagrams derived from road maps of the region, in which the axial nodes represent urban centres. The relative connectivity of the axial nodes was computed at local and global levels in terms of their accessibility from all other nodes in the area selected for the purpose. The prevailing states of urban agglomerations of the centres were evaluated in terms of the availability of urban facilities, commercial, trade and informal activities in those centres. The relative connectivity values are correlated with the urban agglomeration values to test the relationship between the two. The results indicate a high possibility of connectivity analysis to predict the urban agglomeration trends in a region.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8424513" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="69e98a1f7dcfdfe9b33a3ca6b47db26d" rel="nofollow" data-download="{"attachment_id":34815667,"asset_id":8424513,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34815667/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16654359" href="https://mart.academia.edu/AmilaBuddhikaJayasinghe">Amila Buddhika Jayasinghe</a><script data-card-contents-for-user="16654359" type="text/json">{"id":16654359,"first_name":"Amila Buddhika","last_name":"Jayasinghe","domain_name":"mart","page_name":"AmilaBuddhikaJayasinghe","display_name":"Amila Buddhika Jayasinghe","profile_url":"https://mart.academia.edu/AmilaBuddhikaJayasinghe?f_ri=9191","photo":"https://0.academia-photos.com/16654359/4541618/5256143/s65_amila_buddhika.jayasinghe.jpg"}</script></span></span></li><li class="js-paper-rank-work_8424513 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8424513"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8424513, container: ".js-paper-rank-work_8424513", }); });</script></li><li class="js-percentile-work_8424513 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8424513; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8424513"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8424513 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8424513"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8424513; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8424513]").text(description); $(".js-view-count-work_8424513").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8424513").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8424513"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1230" href="https://www.academia.edu/Documents/in/Social_Research_Methods_and_Methodology">Social Research Methods and Methodology</a>, <script data-card-contents-for-ri="1230" type="text/json">{"id":1230,"name":"Social Research Methods and Methodology","url":"https://www.academia.edu/Documents/in/Social_Research_Methods_and_Methodology?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="20436" href="https://www.academia.edu/Documents/in/Urban_And_Regional_Planning">Urban And Regional Planning</a><script data-card-contents-for-ri="20436" type="text/json">{"id":20436,"name":"Urban And Regional Planning","url":"https://www.academia.edu/Documents/in/Urban_And_Regional_Planning?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8424513]'), work: {"id":8424513,"title":"A Study of the Urbanizing Pattern in Kegalle District, Sri Lanka with Connectivity Analysis","created_at":"2014-09-21T12:30:15.507-07:00","url":"https://www.academia.edu/8424513/A_Study_of_the_Urbanizing_Pattern_in_Kegalle_District_Sri_Lanka_with_Connectivity_Analysis?f_ri=9191","dom_id":"work_8424513","summary":"In any geography, it is observable that locations better connected to many other locations attract urban activities and therefore, are in relatively more advantageous positions than the less connected locations in the competition for growth. In that sense, a thorough analysis of the connectivity of different locations in a region will enable regional planners to evolve workable spatial strategies for the development of that region. The study presented in this paper is a test of this relationship between the trends of urban agglomerations and the patterns of connectivity of the urban centres in Kegalle district of Sri Lanka. The study was based on the node-axial diagrams derived from road maps of the region, in which the axial nodes represent urban centres. The relative connectivity of the axial nodes was computed at local and global levels in terms of their accessibility from all other nodes in the area selected for the purpose. The prevailing states of urban agglomerations of the centres were evaluated in terms of the availability of urban facilities, commercial, trade and informal activities in those centres. The relative connectivity values are correlated with the urban agglomeration values to test the relationship between the two. The results indicate a high possibility of connectivity analysis to predict the urban agglomeration trends in a region.","downloadable_attachments":[{"id":34815667,"asset_id":8424513,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16654359,"first_name":"Amila Buddhika","last_name":"Jayasinghe","domain_name":"mart","page_name":"AmilaBuddhikaJayasinghe","display_name":"Amila Buddhika Jayasinghe","profile_url":"https://mart.academia.edu/AmilaBuddhikaJayasinghe?f_ri=9191","photo":"https://0.academia-photos.com/16654359/4541618/5256143/s65_amila_buddhika.jayasinghe.jpg"}],"research_interests":[{"id":1230,"name":"Social Research Methods and Methodology","url":"https://www.academia.edu/Documents/in/Social_Research_Methods_and_Methodology?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":20436,"name":"Urban And Regional Planning","url":"https://www.academia.edu/Documents/in/Urban_And_Regional_Planning?f_ri=9191","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6094037" data-work_id="6094037" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6094037/Inevitabilidade_Digital_O_Poder_dos_La%C3%A7os_Fracos_Converg%C3%AAncia_e_Curiosidade_na_Dissemina%C3%A7%C3%A3o_do_Stuxnet_published_">Inevitabilidade Digital: O Poder dos Laços Fracos, Convergência e Curiosidade na Disseminação do Stuxnet [published]</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Este artigo debate o conceito da inevitabilidade digital no contexto da ciberguerra e está organizado em quatro partes. Os quatro temas discutidos são: o enquadramento internacional do novo tipo de guerra, a contextualização histórica do... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6094037" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Este artigo debate o conceito da inevitabilidade digital no contexto da ciberguerra e está organizado em quatro partes. Os quatro temas discutidos são: o enquadramento internacional do novo tipo de guerra, a contextualização histórica do Stuxnet, os conceitos e princípios da análise de redes em ciências sociais e, por fim, a apresentação do conceito de inevitabilidade digital. <br />O conceito de inevitabilidade digital envolve três princípios: a força dos laços fracos, a convergência das redes na rede e o poder motivador da curiosidade como motor do comportamento humano. A análise deste conceito é feita sobre o caso real da rede de disseminação do Stuxnet, desde a sua concepção até à entrada na rede privada e segura da central nuclear de Natanz. <br /> <br />This article argues about the concept of digital inevitability, in the cyber war framing, and it is organised in four parts. The four topics discussed are: the new kind of war in the international context, Stuxnet’s historical context, the concepts and principles of network analysis in social sciences and the introduction of the digital inevitability concept. <br />The concept of digital inevitability involves three main principles: the strength of weak ties, the convergence of networks into the network and the motivating power of curiosity as a drive for human behaviour. The analysis of this concept is made on the real case of Stuxnet’s network of dissemination, since its conception until its entrance in Natanz nuclear facility’s private and secure network.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6094037" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9d85139f36c8b2161f285a1cb87600b8" rel="nofollow" data-download="{"attachment_id":33322770,"asset_id":6094037,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33322770/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2713895" href="https://iscte-iul.academia.edu/HugoFilipeRamos">Hugo Filipe Ramos</a><script data-card-contents-for-user="2713895" type="text/json">{"id":2713895,"first_name":"Hugo Filipe","last_name":"Ramos","domain_name":"iscte-iul","page_name":"HugoFilipeRamos","display_name":"Hugo Filipe Ramos","profile_url":"https://iscte-iul.academia.edu/HugoFilipeRamos?f_ri=9191","photo":"https://0.academia-photos.com/2713895/873148/14577875/s65_hugo_filipe.ramos.jpg"}</script></span></span></li><li class="js-paper-rank-work_6094037 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6094037"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6094037, container: ".js-paper-rank-work_6094037", }); });</script></li><li class="js-percentile-work_6094037 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 6094037; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_6094037"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_6094037 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="6094037"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6094037; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6094037]").text(description); $(".js-view-count-work_6094037").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6094037").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6094037"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="3703" href="https://www.academia.edu/Documents/in/Network_Security">Network Security</a>, <script data-card-contents-for-ri="3703" type="text/json">{"id":3703,"name":"Network Security","url":"https://www.academia.edu/Documents/in/Network_Security?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4252" href="https://www.academia.edu/Documents/in/Computer_Networks">Computer Networks</a>, <script data-card-contents-for-ri="4252" type="text/json">{"id":4252,"name":"Computer Networks","url":"https://www.academia.edu/Documents/in/Computer_Networks?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9191" href="https://www.academia.edu/Documents/in/Network_Analysis">Network Analysis</a>, <script data-card-contents-for-ri="9191" type="text/json">{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13739" href="https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_">Social Network Analysis (SNA)</a><script data-card-contents-for-ri="13739" type="text/json">{"id":13739,"name":"Social Network Analysis (SNA)","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_?f_ri=9191","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6094037]'), work: {"id":6094037,"title":"Inevitabilidade Digital: O Poder dos Laços Fracos, Convergência e Curiosidade na Disseminação do Stuxnet [published]","created_at":"2014-02-16T03:35:54.438-08:00","url":"https://www.academia.edu/6094037/Inevitabilidade_Digital_O_Poder_dos_La%C3%A7os_Fracos_Converg%C3%AAncia_e_Curiosidade_na_Dissemina%C3%A7%C3%A3o_do_Stuxnet_published_?f_ri=9191","dom_id":"work_6094037","summary":"Este artigo debate o conceito da inevitabilidade digital no contexto da ciberguerra e está organizado em quatro partes. Os quatro temas discutidos são: o enquadramento internacional do novo tipo de guerra, a contextualização histórica do Stuxnet, os conceitos e princípios da análise de redes em ciências sociais e, por fim, a apresentação do conceito de inevitabilidade digital.\r\nO conceito de inevitabilidade digital envolve três princípios: a força dos laços fracos, a convergência das redes na rede e o poder motivador da curiosidade como motor do comportamento humano. A análise deste conceito é feita sobre o caso real da rede de disseminação do Stuxnet, desde a sua concepção até à entrada na rede privada e segura da central nuclear de Natanz.\r\n\r\nThis article argues about the concept of digital inevitability, in the cyber war framing, and it is organised in four parts. The four topics discussed are: the new kind of war in the international context, Stuxnet’s historical context, the concepts and principles of network analysis in social sciences and the introduction of the digital inevitability concept.\r\nThe concept of digital inevitability involves three main principles: the strength of weak ties, the convergence of networks into the network and the motivating power of curiosity as a drive for human behaviour. The analysis of this concept is made on the real case of Stuxnet’s network of dissemination, since its conception until its entrance in Natanz nuclear facility’s private and secure network.","downloadable_attachments":[{"id":33322770,"asset_id":6094037,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2713895,"first_name":"Hugo Filipe","last_name":"Ramos","domain_name":"iscte-iul","page_name":"HugoFilipeRamos","display_name":"Hugo Filipe Ramos","profile_url":"https://iscte-iul.academia.edu/HugoFilipeRamos?f_ri=9191","photo":"https://0.academia-photos.com/2713895/873148/14577875/s65_hugo_filipe.ramos.jpg"}],"research_interests":[{"id":3703,"name":"Network Security","url":"https://www.academia.edu/Documents/in/Network_Security?f_ri=9191","nofollow":false},{"id":4252,"name":"Computer Networks","url":"https://www.academia.edu/Documents/in/Computer_Networks?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":13739,"name":"Social Network Analysis (SNA)","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis_SNA_?f_ri=9191","nofollow":false},{"id":15124,"name":"Convergence","url":"https://www.academia.edu/Documents/in/Convergence?f_ri=9191"},{"id":24715,"name":"Media Convergence","url":"https://www.academia.edu/Documents/in/Media_Convergence?f_ri=9191"},{"id":29756,"name":"Social Network Analysis (Social Sciences)","url":"https://www.academia.edu/Documents/in/Social_Network_Analysis_Social_Sciences_?f_ri=9191"},{"id":123131,"name":"Weak Ties","url":"https://www.academia.edu/Documents/in/Weak_Ties?f_ri=9191"},{"id":134820,"name":"Network Theory","url":"https://www.academia.edu/Documents/in/Network_Theory?f_ri=9191"},{"id":359776,"name":"Philosophy of Curiosity","url":"https://www.academia.edu/Documents/in/Philosophy_of_Curiosity?f_ri=9191"},{"id":1145768,"name":"Curiosity As Psychological Construct","url":"https://www.academia.edu/Documents/in/Curiosity_As_Psychological_Construct?f_ri=9191"},{"id":1290501,"name":"Inevitabilidade Digital","url":"https://www.academia.edu/Documents/in/Inevitabilidade_Digital?f_ri=9191"},{"id":1422393,"name":"Digital Inevitability","url":"https://www.academia.edu/Documents/in/Digital_Inevitability?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43632704 coauthored" data-work_id="43632704" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43632704/Application_of_Graph_Theory_for_Identifying_Connectivity_Patterns_in_Human_Brain_Networks_A_Systematic_Review">Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background: Analysis of the human connectome using functional magnetic resonance imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to discover the neural underpinnings of human cognition and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43632704" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background: Analysis of the human connectome using functional magnetic resonance imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to discover the neural underpinnings of human cognition and neurological disorders. In general, brain connectivity patterns from fMRI data are classified as statistical dependencies (functional connectivity) or causal interactions (effective connectivity) among various neural units. Computational methods, especially graph theory-based methods, have recently played a significant role in understanding brain connectivity architecture.<br /><br />Objectives: Thanks to the emergence of graph theoretical analysis, the main purpose of the current paper is to systematically review how brain properties can emerge through the interactions of distinct neuronal units in various cognitive and neurological applications using fMRI. Moreover, this article provides an overview of the existing functional and effective connectivity methods used to construct the brain network, along with their advantages and pitfalls.<br /><br />Methods: In this systematic review, the databases Science Direct, Scopus, arXiv, Google Scholar, IEEE Xplore, PsycINFO, PubMed, and SpringerLink are employed for exploring the evolution of computational methods in human brain connectivity from 1990 to the present, focusing on graph theory. The Cochrane Collaboration's tool was used to assess the risk of bias in individual studies.<br /><br />Results: Our results show that graph theory and its implications in cognitive neuroscience have attracted the attention of researchers since 2009 (as the Human Connectome Project launched), because of their prominent capability in characterizing the behavior of complex brain systems. Although graph theoretical approach can be generally applied to either functional or effective connectivity patterns during rest or task performance, to date, most articles have focused on the resting-state functional connectivity.<br /><br />Conclusions: This review provides an insight into how to utilize graph theoretical measures to make neurobiological inferences regarding the mechanisms underlying human cognition and behavior as well as different brain disorders.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43632704" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7000ebf3457382a4d19c57d8c9002644" rel="nofollow" data-download="{"attachment_id":63933157,"asset_id":43632704,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63933157/download_file?st=MTczMjQ5MTk2MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="59626368" href="https://ucf.academia.edu/FarzadVasheghaniFarahani">Farzad V Farahani</a><script data-card-contents-for-user="59626368" type="text/json">{"id":59626368,"first_name":"Farzad","last_name":"Farahani","domain_name":"ucf","page_name":"FarzadVasheghaniFarahani","display_name":"Farzad V Farahani","profile_url":"https://ucf.academia.edu/FarzadVasheghaniFarahani?f_ri=9191","photo":"https://0.academia-photos.com/59626368/17361894/17460655/s65_farzad.vasheghani_farahani.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-43632704">+1</span><div class="hidden js-additional-users-43632704"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/NicholeLighthall">Nichole Lighthall</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-43632704'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-43632704').html(); 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In general, brain connectivity patterns from fMRI data are classified as statistical dependencies (functional connectivity) or causal interactions (effective connectivity) among various neural units. Computational methods, especially graph theory-based methods, have recently played a significant role in understanding brain connectivity architecture.\n\nObjectives: Thanks to the emergence of graph theoretical analysis, the main purpose of the current paper is to systematically review how brain properties can emerge through the interactions of distinct neuronal units in various cognitive and neurological applications using fMRI. Moreover, this article provides an overview of the existing functional and effective connectivity methods used to construct the brain network, along with their advantages and pitfalls.\n\nMethods: In this systematic review, the databases Science Direct, Scopus, arXiv, Google Scholar, IEEE Xplore, PsycINFO, PubMed, and SpringerLink are employed for exploring the evolution of computational methods in human brain connectivity from 1990 to the present, focusing on graph theory. The Cochrane Collaboration's tool was used to assess the risk of bias in individual studies.\n\nResults: Our results show that graph theory and its implications in cognitive neuroscience have attracted the attention of researchers since 2009 (as the Human Connectome Project launched), because of their prominent capability in characterizing the behavior of complex brain systems. Although graph theoretical approach can be generally applied to either functional or effective connectivity patterns during rest or task performance, to date, most articles have focused on the resting-state functional connectivity.\n\nConclusions: This review provides an insight into how to utilize graph theoretical measures to make neurobiological inferences regarding the mechanisms underlying human cognition and behavior as well as different brain disorders.","downloadable_attachments":[{"id":63933157,"asset_id":43632704,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":59626368,"first_name":"Farzad","last_name":"Farahani","domain_name":"ucf","page_name":"FarzadVasheghaniFarahani","display_name":"Farzad V Farahani","profile_url":"https://ucf.academia.edu/FarzadVasheghaniFarahani?f_ri=9191","photo":"https://0.academia-photos.com/59626368/17361894/17460655/s65_farzad.vasheghani_farahani.jpg"},{"id":164465944,"first_name":"Nichole","last_name":"Lighthall","domain_name":"independent","page_name":"NicholeLighthall","display_name":"Nichole Lighthall","profile_url":"https://independent.academia.edu/NicholeLighthall?f_ri=9191","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=9191","nofollow":false},{"id":2616,"name":"Graph Theory","url":"https://www.academia.edu/Documents/in/Graph_Theory?f_ri=9191","nofollow":false},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=9191","nofollow":false},{"id":29917,"name":"FMRI","url":"https://www.academia.edu/Documents/in/FMRI?f_ri=9191","nofollow":false},{"id":97560,"name":"Neurological disorders","url":"https://www.academia.edu/Documents/in/Neurological_disorders?f_ri=9191"},{"id":877071,"name":"Human cognitive performance","url":"https://www.academia.edu/Documents/in/Human_cognitive_performance?f_ri=9191"}]}, }) } })();</script></ul></li></ul></div></div></div><div class="u-taCenter Pagination"><ul class="pagination"><li class="next_page"><a href="/Documents/in/Network_Analysis?after=50%2C43632704" rel="next">Next</a></li><li class="last next"><a href="/Documents/in/Network_Analysis?page=last">Last »</a></li></ul></div></div><div class="hidden-xs hidden-sm"><div class="u-pl6x"><div style="width: 300px;"><div class="panel panel-flat u-mt7x"><div class="panel-heading u-p5x"><div class="u-tcGrayDark u-taCenter u-fw700 u-textUppercase">Related Topics</div></div><ul class="list-group"><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" 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