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(PDF) Social Complexity: can it be analyzed and modelled? | Kimmo K Kaski - Academia.edu

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Through data analysis, modeling, and simulation quite an unparalleled insight into their structure, function, and response can be obtained. In human societies individuals are linked through social interactions, which today are increasingly mediated electronically by modern Information Communication Technology thus leaving \"footprints\" of human behaviour as digital records. For these datasets the network theory approach is a natural one as we have demonstrated by analysing the dataset of multi-million user mobile phone communication-logs. This social network turned out to be modular in structure showing communities where individuals are connected with stronger ties and between communities with weaker ties. Also the network topology and the weighted links for pairs of individuals turned out to be related.These empirical findings inspired us to take the next step in network theory, by developing a simple network model based on basic network sociology mechanisms to get friends in order to catch some salient features of mesoscopic community and macroscopic topology formation. Our model turned out to produce many empirically observed features of large-scale social networks. Thus we believe that the network theory approach combining data analysis with modeling and simulation could open a new perspective for studying and even predicting various collective social phenomena such as information spreading, formation of societal structures, and evolutionary processes in them.","publication_date":"2010,,","grobid_abstract_attachment_id":"39166320"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Social Complexity: can it be analyzed and modelled?","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [36035013]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" 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structure&quot;,&quot;attachmentId&quot;:67025504,&quot;attachmentType&quot;:&quot;pdf&quot;,&quot;work_url&quot;:&quot;https://www.academia.edu/48385108/Potential_networks_contagious_communities_and_understanding_social_network_structure&quot;,&quot;alternativeTracking&quot;:true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/48385108/Potential_networks_contagious_communities_and_understanding_social_network_structure"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="12047680" data-sort-order="default"><a class="ds-related-work--title 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Studies relating to this question have proved useful in a variety of contexts, stretching from the spread of diseases to the stability and resilience of ecosystems. This essay focuses on social networks. The aim of the study is to compare the network structures belonging to three of the author’s social networks. The first two networks are real life friendship networks of the author’s (one smaller, one larger), whilst the third is an online friendship network (the author’s Facebook network). By comparing the topologies of these three networks, the project considers whether small-world characteristics are exhibited, as well as how the network structures vary as a function of network size and relationship strength. In order to compare the three social networks, this study uses a combination of qualitative visual observations and quantitative statistical analyses. First, the three networks are represented using Microsoft Office PowerPoint and Gephi 0.8.2 beta (using emails, phone calls, Google Documents and an application named Netvizz v1.0 to acquire the relevant data). Visual observations are then made about the networks and Gephi 0.8.2 beta was used to calculate the degree distributions, betweeness centrality distributions, clustering coefficients, average path lengths, network diameters and average degrees in the network. Several findings were made in this project. First, all three networks exhibited small-world characteristics. In addition, the study suggested the possibility that an individual’s social network may be scale-free (as one alters the size of his/her friendship group). However, not all elements of the networks appeared to be scale-free in this sense.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{&quot;location&quot;:&quot;wsj-grid-card-download-pdf-modal&quot;,&quot;work_title&quot;:&quot;A comparison of complex network topologies: two “real life” friendship networks, compared with a Facebook friendship network (unpublished BA article, University of Oxford)&quot;,&quot;attachmentId&quot;:37375568,&quot;attachmentType&quot;:&quot;pdf&quot;,&quot;work_url&quot;:&quot;https://www.academia.edu/12047680/A_comparison_of_complex_network_topologies_two_real_life_friendship_networks_compared_with_a_Facebook_friendship_network_unpublished_BA_article_University_of_Oxford_&quot;,&quot;alternativeTracking&quot;:true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/12047680/A_comparison_of_complex_network_topologies_two_real_life_friendship_networks_compared_with_a_Facebook_friendship_network_unpublished_BA_article_University_of_Oxford_"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="120825226" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/120825226/Dynamics_of_social_networks">Dynamics of social networks</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="35818493" href="https://independent.academia.edu/StefanBornholdt">Stefan Bornholdt</a></div><p class="ds-related-work--metadata ds2-5-body-xs">arXiv (Cornell University), 2003</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{&quot;location&quot;:&quot;wsj-grid-card-download-pdf-modal&quot;,&quot;work_title&quot;:&quot;Dynamics of social networks&quot;,&quot;attachmentId&quot;:115853868,&quot;attachmentType&quot;:&quot;pdf&quot;,&quot;work_url&quot;:&quot;https://www.academia.edu/120825226/Dynamics_of_social_networks&quot;,&quot;alternativeTracking&quot;:true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/120825226/Dynamics_of_social_networks"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="1777230" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/1777230/Creation_and_Growth_of_Online_Social_Network_How_do_social_networks_evolve">Creation and Growth of Online Social Network - How do social networks evolve?</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="1671243" href="https://bournemouth.academia.edu/MarcinBudka">Marcin Budka</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Social networks are an example of complex systems consisting of nodes that can interact with each other and based on these activities the social relations are defined. The dynamics and evolution of real–world social networks are very interesting but at the same time very challenging areas of research. In this paper the formation and growth of one of such structures extracted from human activities within online social networking system is investigated. Dynamics of both local and global characteristics are studied. This research also attempts to investigate the stability of complex system dynamics in time. The unique element of the presented study is that the data, from which the online social network was extracted, represents interactions between users from the beginning of the social networking site existence. The system, from which the data was obtained, enables users to interact using different communication channels, i.e. the users can use a public forum (create topics and posts) and at the same time they can add others to a private contact list.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{&quot;location&quot;:&quot;wsj-grid-card-download-pdf-modal&quot;,&quot;work_title&quot;:&quot;Creation and Growth of Online Social Network - How do social networks evolve?&quot;,&quot;attachmentId&quot;:23559395,&quot;attachmentType&quot;:&quot;pdf&quot;,&quot;work_url&quot;:&quot;https://www.academia.edu/1777230/Creation_and_Growth_of_Online_Social_Network_How_do_social_networks_evolve&quot;,&quot;alternativeTracking&quot;:true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/1777230/Creation_and_Growth_of_Online_Social_Network_How_do_social_networks_evolve"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{&quot;location&quot;:&quot;continue-reading-button--sticky-ctas&quot;,&quot;attachmentId&quot;:39166320,&quot;attachmentType&quot;:&quot;pdf&quot;,&quot;workUrl&quot;:null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{&quot;location&quot;:&quot;download-pdf-button--sticky-ctas&quot;,&quot;attachmentId&quot;:39166320,&quot;attachmentType&quot;:&quot;pdf&quot;,&quot;workUrl&quot;:null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_39166320" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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