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class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://urv.academia.edu/">Universitat Rovira i Virgili</a>, <a class="u-tcGrayDarker" href="https://urv.academia.edu/Departments/Enginyeria_Inform%C3%A0tica_i_Matem%C3%A0tiques/Documents">Enginyeria Informàtica i Matemàtiques</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Sergio" data-follow-user-id="33513994" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" 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href="https://www.academia.edu/56967382/Virus_spread_versus_contact_tracing_Two_competing_contagion_processes"><img alt="Research paper thumbnail of Virus spread versus contact tracing: Two competing contagion processes" class="work-thumbnail" src="https://attachments.academia-assets.com/72094552/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967382/Virus_spread_versus_contact_tracing_Two_competing_contagion_processes">Virus spread versus contact tracing: Two competing contagion processes</a></div><div class="wp-workCard_item"><span>Physical Review Research</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4ba21c157efe78e5d2189b343ee812b5" class="wp-workCard--action" rel="nofollow" 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href="https://www.academia.edu/56967377/A_mathematical_model_for_the_spatiotemporal_epidemic_spreading_of_COVID19">A mathematical model for the spatiotemporal epidemic spreading of COVID19</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was fir...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was first reported in Hubei, mainland China on 31 December 2019. As of 20 March 2020, cases have been reported in 166 countries/regions, including cases of human-to-human transmission around the world. The proportions of this epidemics is probably one of the largest challenges faced by our interconnected modern societies. According to the current epidemiological reports, the large basic reproduction number, R_0 ~ 2.3, number of secondary cases produced by an infected individual in a population of susceptible individuals, as well as an asymptomatic period (up to 14 days) in which infectious individuals are undetectable without further analysis, pave the way for a major crisis of the national health capacity systems. Recent scientific reports have pointed out that the detected cases of COVID19 at young ages is strikingly short and that lethality is concentrated at large ages. Here we adapt a Micr...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6d24ccd45f285d1ab91408b588136533" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094633,"asset_id":56967377,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094633/download_file?st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967377"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967377"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967377; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56967377]").text(description); $(".js-view-count[data-work-id=56967377]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56967377; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='56967377']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 56967377, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6d24ccd45f285d1ab91408b588136533" } } $('.js-work-strip[data-work-id=56967377]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":56967377,"title":"A mathematical model for the spatiotemporal epidemic spreading of COVID19","translated_title":"","metadata":{"abstract":"An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was first reported in Hubei, mainland China on 31 December 2019. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967371"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967371/Congestion_Induced_by_the_Structure_of_Multiplex_Networks"><img alt="Research paper thumbnail of Congestion Induced by the Structure of Multiplex Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/72094636/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967371/Congestion_Induced_by_the_Structure_of_Multiplex_Networks">Congestion Induced by the Structure of Multiplex Networks</a></div><div class="wp-workCard_item"><span>Physical review letters</span><span>, Jan 11, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Multiplex networks are representations of multilayer interconnected complex networks where the no...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Multiplex networks are representations of multilayer interconnected complex networks where the nodes are the same at every layer. They turn out to be good abstractions of the intricate connectivity of multimodal transportation networks, among other types of complex systems. One of the most important critical phenomena arising in such networks is the emergence of congestion in transportation flows. Here, we prove analytically that the structure of multiplex networks can induce congestion for flows that otherwise would be decongested if the individual layers were not interconnected. We provide explicit equations for the onset of congestion and approximations that allow us to compute this onset from individual descriptors of the individual layers. The observed cooperative phenomenon is reminiscent of Braess&#39; paradox in which adding extra capacity to a network when the moving entities selfishly choose their route can in some cases reduce overall performance. Similarly, in the multip...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3798e38bab27afeea3da7264d9c33059" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094636,"asset_id":56967371,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094636/download_file?st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967371"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967371"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967371; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56967371]").text(description); $(".js-view-count[data-work-id=56967371]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56967371; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='56967371']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 56967371, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3798e38bab27afeea3da7264d9c33059" } } $('.js-work-strip[data-work-id=56967371]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":56967371,"title":"Congestion Induced by the Structure of Multiplex Networks","translated_title":"","metadata":{"abstract":"Multiplex networks are representations of multilayer interconnected complex networks where the nodes are the same at every layer. 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The observed cooperative phenomenon is reminiscent of Braess\u0026#39; paradox in which adding extra capacity to a network when the moving entities selfishly choose their route can in some cases reduce overall performance. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967353"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967353/Information_transfer_in_community_structured_multiplex_networks"><img alt="Research paper thumbnail of Information transfer in community structured multiplex networks" class="work-thumbnail" src="https://attachments.academia-assets.com/72094634/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967353/Information_transfer_in_community_structured_multiplex_networks">Information transfer in community structured multiplex networks</a></div><div class="wp-workCard_item"><span>Frontiers in Physics</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c8410f047143b3c4a01264ce3294cdfd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094634,"asset_id":56967353,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094634/download_file?st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967353"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967353"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967353; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967351"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967351/Analytical_Interpretation_of_Feed_Forward_Nets_Outputs_After_Training"><img alt="Research paper thumbnail of Analytical Interpretation of Feed-Forward Nets Outputs After Training" class="work-thumbnail" src="https://attachments.academia-assets.com/72094676/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967351/Analytical_Interpretation_of_Feed_Forward_Nets_Outputs_After_Training">Analytical Interpretation of Feed-Forward Nets Outputs After Training</a></div><div class="wp-workCard_item"><span>International Journal of Neural Systems</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The minimization quadratic error criterion which gives rise to the back-propagation algorithm is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The minimization quadratic error criterion which gives rise to the back-propagation algorithm is studied using functional analysis techniques. With them, we recover easily the well-known statistical result which states that the searched global minimum is a function which assigns, to each input pattern, the expected value of its corresponding output patterns. Its application to classification tasks shows that only certain output class representations can be used to obtain the optimal Bayesian decision rule. Finally, our method permits the study of other error criterions, finding out, for instance, that absolute value errors lead to medians instead of mean values.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="58828f0846649cd3f24fe6ce47964663" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094676,"asset_id":56967351,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094676/download_file?st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967351"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967351"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967351; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56967351]").text(description); $(".js-view-count[data-work-id=56967351]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56967351; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='56967351']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 56967351, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "58828f0846649cd3f24fe6ce47964663" } } $('.js-work-strip[data-work-id=56967351]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":56967351,"title":"Analytical Interpretation of Feed-Forward Nets Outputs After Training","translated_title":"","metadata":{"abstract":"The minimization quadratic error criterion which gives rise to the back-propagation algorithm is studied using functional analysis techniques. 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In this article we shall first introduce a new multistate perceptron learning nile, and then ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... In this article we shall first introduce a new multistate perceptron learning nile, and then prove the corresponding convergence theorem. ... Our proposal for the multistate perceptron learningnile stems from the following theorem. 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href="https://www.academia.edu/20062606/Optimal_projection_to_estimate_the_proportions_of_the_different_subsamples_in_a_given_mixture_sample"><img alt="Research paper thumbnail of Optimal projection to estimate the proportions of the different subsamples in a given mixture sample" class="work-thumbnail" src="https://attachments.academia-assets.com/41157143/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20062606/Optimal_projection_to_estimate_the_proportions_of_the_different_subsamples_in_a_given_mixture_sample">Optimal projection to estimate the proportions of the different subsamples in a given mixture sample</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VicensGaitan">Vicens Gaitan</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AurelioJuste">Aurelio Juste</a></span></div><div class="wp-workCard_item"><span>Computer Physics Communications</span><span>, 1997</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2bd421b47080ba515765fb1e3e721ee4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41157143,"asset_id":20062606,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41157143/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="15682388"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15682388/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks"><img alt="Research paper thumbnail of Strategical incoherence regulates cooperation in social dilemmas on multiplex networks" class="work-thumbnail" src="https://attachments.academia-assets.com/38763736/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/15682388/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks">Strategical incoherence regulates cooperation in social dilemmas on multiplex networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://hms-harvard.academia.edu/JoanMatamalas">Joan T Matamalas</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JuliaPoncela">Julia Poncela</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner’s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T − S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don’t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="653d07cceae3dff5c5ab1c3682966096" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38763736,"asset_id":15682388,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38763736/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="15682388"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15682388"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15682388; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15682388]").text(description); $(".js-view-count[data-work-id=15682388]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15682388; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15682388']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15682388, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "653d07cceae3dff5c5ab1c3682966096" } } $('.js-work-strip[data-work-id=15682388]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15682388,"title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks","translated_title":"","metadata":{"abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner’s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T − S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don’t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas."},"translated_abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner’s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T − S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don’t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.","internal_url":"https://www.academia.edu/15682388/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_internal_url":"","created_at":"2015-09-14T05:44:29.015-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27502351,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5826659,"work_id":15682388,"tagging_user_id":27502351,"tagged_user_id":34915849,"co_author_invite_id":1287209,"email":"j***a@gmail.com","display_order":0,"name":"Julia Poncela","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"},{"id":5826660,"work_id":15682388,"tagging_user_id":27502351,"tagged_user_id":33513994,"co_author_invite_id":null,"email":"s***z@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":4194304,"name":"Sergio Gómez","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"},{"id":5826661,"work_id":15682388,"tagging_user_id":27502351,"tagged_user_id":33468097,"co_author_invite_id":null,"email":"a***s@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":6291456,"name":"Alex Arenas","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"}],"downloadable_attachments":[{"id":38763736,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38763736/thumbnails/1.jpg","file_name":"srep09519.pdf","download_url":"https://www.academia.edu/attachments/38763736/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Strategical_incoherence_regulates_cooper.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38763736/srep09519-libre.pdf?1442236641=\u0026response-content-disposition=attachment%3B+filename%3DStrategical_incoherence_regulates_cooper.pdf\u0026Expires=1732485667\u0026Signature=MLm0dKh59uVB8gdEdmDmOwLF6goIxd65fv16nTzArjgXn8aYHE-4VucRiZJ5dj53fFAtYz4TxLMlb56brrBrILUID4E-1xq7~L5yE1rzhINwRoKlteq7LGkVVHkVk6462z-iDCKXIiZw0-2iTGe6wy4bLlkIYPvgCpq~tNzDfPzsyNNKo5MZKFl40riUQ-8c9FrJuQoTy~FVm5tYMSxq5cW0SeD7zNidw6iAlf7mqZoPvi-031obR0qeYgOQph1aeLRSitMLjc8p3TsOXKHb3KvBKzSjoMZ0nAZypCgG~sMi63oqzW2YbOUcHJrAG1BAdkOqODWT2e8r7WpTfd-w6Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":27502351,"first_name":"Joan","middle_initials":"T","last_name":"Matamalas","page_name":"JoanMatamalas","domain_name":"hms-harvard","created_at":"2015-03-09T07:12:30.183-07:00","display_name":"Joan T Matamalas","url":"https://hms-harvard.academia.edu/JoanMatamalas"},"attachments":[{"id":38763736,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38763736/thumbnails/1.jpg","file_name":"srep09519.pdf","download_url":"https://www.academia.edu/attachments/38763736/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Strategical_incoherence_regulates_cooper.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38763736/srep09519-libre.pdf?1442236641=\u0026response-content-disposition=attachment%3B+filename%3DStrategical_incoherence_regulates_cooper.pdf\u0026Expires=1732485667\u0026Signature=MLm0dKh59uVB8gdEdmDmOwLF6goIxd65fv16nTzArjgXn8aYHE-4VucRiZJ5dj53fFAtYz4TxLMlb56brrBrILUID4E-1xq7~L5yE1rzhINwRoKlteq7LGkVVHkVk6462z-iDCKXIiZw0-2iTGe6wy4bLlkIYPvgCpq~tNzDfPzsyNNKo5MZKFl40riUQ-8c9FrJuQoTy~FVm5tYMSxq5cW0SeD7zNidw6iAlf7mqZoPvi-031obR0qeYgOQph1aeLRSitMLjc8p3TsOXKHb3KvBKzSjoMZ0nAZypCgG~sMi63oqzW2YbOUcHJrAG1BAdkOqODWT2e8r7WpTfd-w6Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":757,"name":"Game Theory","url":"https://www.academia.edu/Documents/in/Game_Theory"},{"id":7150,"name":"Complex Systems","url":"https://www.academia.edu/Documents/in/Complex_Systems"},{"id":13113,"name":"Evolutionary Game Theory","url":"https://www.academia.edu/Documents/in/Evolutionary_Game_Theory"},{"id":13330,"name":"Complex Networks","url":"https://www.academia.edu/Documents/in/Complex_Networks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="14853727"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/14853727/Feature_Selection_and_Outliers_Detection_with_Genetic_Algorithms_and_Neural_Networks"><img alt="Research paper thumbnail of Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/39136514/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/14853727/Feature_Selection_and_Outliers_Detection_with_Genetic_Algorithms_and_Neural_Networks">Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://upc.academia.edu/Ren%C3%A9Alqu%C3%A9zar">René Alquézar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents a new feature selection method and an outliers detec- tion algorithm. The pre...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents a new feature selection method and an outliers detec- tion algorithm. The presented method is based on using a genetic algorithm com- bined with a problem-specific-designed neural network. The d imensional reduc- tion and the outliers detection makes the resulting dataset more suitable for training neural networks. A comparative analysis between different kind of proposed crite- ria to select the features is reported. A number of experimental results have been carried out to demonstrate the usefulness of the presented technique.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e43345a206b8229c7009523778a2f7b5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39136514,"asset_id":14853727,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39136514/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="14853727"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="14853727"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14853727; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14853727]").text(description); $(".js-view-count[data-work-id=14853727]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14853727; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='14853727']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 14853727, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e43345a206b8229c7009523778a2f7b5" } } $('.js-work-strip[data-work-id=14853727]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":14853727,"title":"Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks","translated_title":"","metadata":{"abstract":"This paper presents a new feature selection method and an outliers detec- tion algorithm. The presented method is based on using a genetic algorithm com- bined with a problem-specific-designed neural network. The d imensional reduc- tion and the outliers detection makes the resulting dataset more suitable for training neural networks. A comparative analysis between different kind of proposed crite- ria to select the features is reported. A number of experimental results have been carried out to demonstrate the usefulness of the presented technique."},"translated_abstract":"This paper presents a new feature selection method and an outliers detec- tion algorithm. The presented method is based on using a genetic algorithm com- bined with a problem-specific-designed neural network. The d imensional reduc- tion and the outliers detection makes the resulting dataset more suitable for training neural networks. A comparative analysis between different kind of proposed crite- ria to select the features is reported. A number of experimental results have been carried out to demonstrate the usefulness of the presented technique.","internal_url":"https://www.academia.edu/14853727/Feature_Selection_and_Outliers_Detection_with_Genetic_Algorithms_and_Neural_Networks","translated_internal_url":"","created_at":"2015-08-11T10:28:43.220-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33822880,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":4529764,"work_id":14853727,"tagging_user_id":33822880,"tagged_user_id":26852817,"co_author_invite_id":null,"email":"e***0@hotmail.com","display_order":0,"name":"Enrique Romero","title":"Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks"},{"id":4529773,"work_id":14853727,"tagging_user_id":33822880,"tagged_user_id":4558575,"co_author_invite_id":null,"email":"e***o@hotmail.com","display_order":4194304,"name":"Enrique Romero","title":"Feature Selection and Outliers 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<div class="js-work-strip profile--work_container" data-work-id="15222647"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15222647/Benchmark_model_to_assess_community_structure_in_evolving_networks"><img alt="Research paper thumbnail of Benchmark model to assess community structure in evolving networks" class="work-thumbnail" src="https://attachments.academia-assets.com/43419849/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/15222647/Benchmark_model_to_assess_community_structure_in_evolving_networks">Benchmark model to assess community structure in evolving networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/SFortunato">S. Fortunato</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a></span></div><div class="wp-workCard_item"><span>Physical Review E</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b06059f585ff267e625ac8ebdeb704c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43419849,"asset_id":15222647,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43419849/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="15222647"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15222647"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15222647; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15222647]").text(description); $(".js-view-count[data-work-id=15222647]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15222647; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15222647']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15222647, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b06059f585ff267e625ac8ebdeb704c1" } } $('.js-work-strip[data-work-id=15222647]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15222647,"title":"Benchmark model to assess community structure in evolving networks","translated_title":"","metadata":{"grobid_abstract":"Detecting the time evolution of the community structure of networks is crucial to identify major changes in the internal organization of many complex systems, which may undergo important endogenous or exogenous events. This analysis can be done in two ways: considering each snapshot as an independent community detection problem or taking into account the whole evolution of the network. In the first case, one can apply static methods on the temporal snapshots, which correspond to configurations of the system in short time windows, and match afterwards the communities across layers. Alternatively, one can develop dedicated dynamic procedures, so that multiple snapshots are simultaneously taken into account while detecting communities, which allows us to keep memory of the flow. To check how well a method of any kind could capture the evolution of communities, suitable benchmarks are needed. Here we propose a model for generating simple dynamic benchmark graphs, based on stochastic block models. In them, the time evolution consists of a periodic oscillation of the system's structure between configurations with built-in community structure. We also propose the extension of quality comparison indices to the dynamic scenario.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Physical Review E","grobid_abstract_attachment_id":43419849},"translated_abstract":null,"internal_url":"https://www.academia.edu/15222647/Benchmark_model_to_assess_community_structure_in_evolving_networks","translated_internal_url":"","created_at":"2015-08-27T04:19:30.310-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34285114,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5145692,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":33513994,"co_author_invite_id":null,"email":"s***z@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":0,"name":"Sergio Gómez","title":"Benchmark model to assess community structure in evolving networks"},{"id":5145693,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":33468097,"co_author_invite_id":null,"email":"a***s@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":4194304,"name":"Alex Arenas","title":"Benchmark model to assess community structure in evolving networks"},{"id":5145694,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":38443817,"co_author_invite_id":1157140,"email":"c***l@urv.cat","display_order":6291456,"name":"Clara Granell","title":"Benchmark model to assess community structure in evolving networks"},{"id":5145708,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":null,"co_author_invite_id":1157141,"email":"r***d@zgib.net","display_order":7340032,"name":"Richard Darst","title":"Benchmark model to assess community structure in evolving networks"}],"downloadable_attachments":[{"id":43419849,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43419849/thumbnails/1.jpg","file_name":"1501.05808.pdf","download_url":"https://www.academia.edu/attachments/43419849/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Benchmark_model_to_assess_community_stru.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43419849/1501.05808-libre.pdf?1457273420=\u0026response-content-disposition=attachment%3B+filename%3DBenchmark_model_to_assess_community_stru.pdf\u0026Expires=1732485667\u0026Signature=epkzTwuilsOaHsuYYQZBLTs5hm~uK1qDAAnGIn1Sk2yv61ETmHeDYeGlVxZSdzkLhnXT5p7sO4ZTqp5Mh-yGqyw1dWUN4MoVrATRqL5V~gsomG44g5ZxhxCnSd~SPmdbgZLARt3c90YIRWaTyjJgrS~RvD~2Thz60q1xEMOYfxri8DgKkn2pfORsjOtuZCTBJHGnpYek-YrFqGqLnZgsW1~OS3JYEH-gD0Grq7KP2eqPb56I1ZFo1WcBip4KlaWThiCO7YMeZWAKJGMD3gIkpd4xP3W-lcvFyk2IOfx9xUGqjVvRIaf0etJTxHqdyQ6A0UEVw-kDpbVIoLM-e3WjNw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Benchmark_model_to_assess_community_structure_in_evolving_networks","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":34285114,"first_name":"S.","middle_initials":null,"last_name":"Fortunato","page_name":"SFortunato","domain_name":"aalto-fi","created_at":"2015-08-27T04:13:25.976-07:00","display_name":"S. Fortunato","url":"https://aalto-fi.academia.edu/SFortunato"},"attachments":[{"id":43419849,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43419849/thumbnails/1.jpg","file_name":"1501.05808.pdf","download_url":"https://www.academia.edu/attachments/43419849/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Benchmark_model_to_assess_community_stru.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43419849/1501.05808-libre.pdf?1457273420=\u0026response-content-disposition=attachment%3B+filename%3DBenchmark_model_to_assess_community_stru.pdf\u0026Expires=1732485667\u0026Signature=epkzTwuilsOaHsuYYQZBLTs5hm~uK1qDAAnGIn1Sk2yv61ETmHeDYeGlVxZSdzkLhnXT5p7sO4ZTqp5Mh-yGqyw1dWUN4MoVrATRqL5V~gsomG44g5ZxhxCnSd~SPmdbgZLARt3c90YIRWaTyjJgrS~RvD~2Thz60q1xEMOYfxri8DgKkn2pfORsjOtuZCTBJHGnpYek-YrFqGqLnZgsW1~OS3JYEH-gD0Grq7KP2eqPb56I1ZFo1WcBip4KlaWThiCO7YMeZWAKJGMD3gIkpd4xP3W-lcvFyk2IOfx9xUGqjVvRIaf0etJTxHqdyQ6A0UEVw-kDpbVIoLM-e3WjNw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="14549828"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/14549828/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks"><img alt="Research paper thumbnail of Strategical incoherence regulates cooperation in social dilemmas on multiplex networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/14549828/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks">Strategical incoherence regulates cooperation in social dilemmas on multiplex networks</a></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T - S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="14549828"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="14549828"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14549828; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14549828]").text(description); $(".js-view-count[data-work-id=14549828]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14549828; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='14549828']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 14549828, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=14549828]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":14549828,"title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks","translated_title":"","metadata":{"abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T - S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Scientific Reports"},"translated_abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T - S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.","internal_url":"https://www.academia.edu/14549828/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_internal_url":"","created_at":"2015-08-01T08:30:24.396-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33513994,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":4120187,"work_id":14549828,"tagging_user_id":33513994,"tagged_user_id":33468097,"co_author_invite_id":null,"email":"a***s@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":0,"name":"Alex Arenas","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"}],"downloadable_attachments":[],"slug":"Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33513994,"first_name":"Sergio","middle_initials":"","last_name":"Gómez","page_name":"SergioGomez","domain_name":"urv","created_at":"2015-08-01T08:24:15.311-07:00","display_name":"Sergio Gómez","url":"https://urv.academia.edu/SergioGomez"},"attachments":[],"research_interests":[{"id":757,"name":"Game Theory","url":"https://www.academia.edu/Documents/in/Game_Theory"},{"id":7150,"name":"Complex Systems","url":"https://www.academia.edu/Documents/in/Complex_Systems"},{"id":13113,"name":"Evolutionary Game Theory","url":"https://www.academia.edu/Documents/in/Evolutionary_Game_Theory"},{"id":13330,"name":"Complex Networks","url":"https://www.academia.edu/Documents/in/Complex_Networks"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":99234,"name":"Animals","url":"https://www.academia.edu/Documents/in/Animals"},{"id":496530,"name":"Community Networks","url":"https://www.academia.edu/Documents/in/Community_Networks"},{"id":1153482,"name":"Cooperative Behavior","url":"https://www.academia.edu/Documents/in/Cooperative_Behavior"}],"urls":[]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967377"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967377/A_mathematical_model_for_the_spatiotemporal_epidemic_spreading_of_COVID19"><img alt="Research paper thumbnail of A mathematical model for the spatiotemporal epidemic spreading of COVID19" class="work-thumbnail" src="https://attachments.academia-assets.com/72094633/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967377/A_mathematical_model_for_the_spatiotemporal_epidemic_spreading_of_COVID19">A mathematical model for the spatiotemporal epidemic spreading of COVID19</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was fir...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was first reported in Hubei, mainland China on 31 December 2019. As of 20 March 2020, cases have been reported in 166 countries/regions, including cases of human-to-human transmission around the world. The proportions of this epidemics is probably one of the largest challenges faced by our interconnected modern societies. According to the current epidemiological reports, the large basic reproduction number, R_0 ~ 2.3, number of secondary cases produced by an infected individual in a population of susceptible individuals, as well as an asymptomatic period (up to 14 days) in which infectious individuals are undetectable without further analysis, pave the way for a major crisis of the national health capacity systems. Recent scientific reports have pointed out that the detected cases of COVID19 at young ages is strikingly short and that lethality is concentrated at large ages. 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As of 20 March 2020, cases have been reported in 166 countries/regions, including cases of human-to-human transmission around the world. The proportions of this epidemics is probably one of the largest challenges faced by our interconnected modern societies. According to the current epidemiological reports, the large basic reproduction number, R_0 ~ 2.3, number of secondary cases produced by an infected individual in a population of susceptible individuals, as well as an asymptomatic period (up to 14 days) in which infectious individuals are undetectable without further analysis, pave the way for a major crisis of the national health capacity systems. Recent scientific reports have pointed out that the detected cases of COVID19 at young ages is strikingly short and that lethality is concentrated at large ages. Here we adapt a Micr...","publisher":"Cold Spring Harbor Laboratory"},"translated_abstract":"An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was first reported in Hubei, mainland China on 31 December 2019. As of 20 March 2020, cases have been reported in 166 countries/regions, including cases of human-to-human transmission around the world. The proportions of this epidemics is probably one of the largest challenges faced by our interconnected modern societies. According to the current epidemiological reports, the large basic reproduction number, R_0 ~ 2.3, number of secondary cases produced by an infected individual in a population of susceptible individuals, as well as an asymptomatic period (up to 14 days) in which infectious individuals are undetectable without further analysis, pave the way for a major crisis of the national health capacity systems. Recent scientific reports have pointed out that the detected cases of COVID19 at young ages is strikingly short and that lethality is concentrated at large ages. Here we adapt a Micr...","internal_url":"https://www.academia.edu/56967377/A_mathematical_model_for_the_spatiotemporal_epidemic_spreading_of_COVID19","translated_internal_url":"","created_at":"2021-10-10T10:55:01.387-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33513994,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":72094633,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/72094633/thumbnails/1.jpg","file_name":"2020.03.21.20040022.full.pdf","download_url":"https://www.academia.edu/attachments/72094633/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_mathematical_model_for_the_spatiotempo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/72094633/2020.03.21.20040022.full-libre.pdf?1633889815=\u0026response-content-disposition=attachment%3B+filename%3DA_mathematical_model_for_the_spatiotempo.pdf\u0026Expires=1732485666\u0026Signature=Y9cgRzKFo~Lm~Ncli6KEPR~Rm-ckE8LJ9ldKhmRLT1U2lwCIGzLbTL2P~U~wSyspCamzMT4F-kbJ4ZeHgcg3AD0ds-ovLIZDDdShtFMTB8p5BUTWGdn70zdjVoZRivXpfJxywnJHR8YDpd6ICoFArH4e3DfG8OFl~OzDT-0oFyTcHCSP07RujHwjdKQu8Z4wXktopQR1KnZy30sWN16YFjozLP1DVLUwwxIHwuleC9S1Xlf9tYalljG5u~wmoP0BfNKfPb1ssrh1EJ0lkq6OGot3~VFkrAFhz3RUT8iTAzf-6wVyjcXYxEVwz70rcYT~v5LaJX8U~EOynAONawxFPw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_mathematical_model_for_the_spatiotemporal_epidemic_spreading_of_COVID19","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":33513994,"first_name":"Sergio","middle_initials":"","last_name":"Gómez","page_name":"SergioGomez","domain_name":"urv","created_at":"2015-08-01T08:24:15.311-07:00","display_name":"Sergio Gómez","url":"https://urv.academia.edu/SergioGomez"},"attachments":[{"id":72094633,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/72094633/thumbnails/1.jpg","file_name":"2020.03.21.20040022.full.pdf","download_url":"https://www.academia.edu/attachments/72094633/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_mathematical_model_for_the_spatiotempo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/72094633/2020.03.21.20040022.full-libre.pdf?1633889815=\u0026response-content-disposition=attachment%3B+filename%3DA_mathematical_model_for_the_spatiotempo.pdf\u0026Expires=1732485666\u0026Signature=Y9cgRzKFo~Lm~Ncli6KEPR~Rm-ckE8LJ9ldKhmRLT1U2lwCIGzLbTL2P~U~wSyspCamzMT4F-kbJ4ZeHgcg3AD0ds-ovLIZDDdShtFMTB8p5BUTWGdn70zdjVoZRivXpfJxywnJHR8YDpd6ICoFArH4e3DfG8OFl~OzDT-0oFyTcHCSP07RujHwjdKQu8Z4wXktopQR1KnZy30sWN16YFjozLP1DVLUwwxIHwuleC9S1Xlf9tYalljG5u~wmoP0BfNKfPb1ssrh1EJ0lkq6OGot3~VFkrAFhz3RUT8iTAzf-6wVyjcXYxEVwz70rcYT~v5LaJX8U~EOynAONawxFPw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":12715790,"url":"https://syndication.highwire.org/content/doi/10.1101/2020.03.21.20040022"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967371"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967371/Congestion_Induced_by_the_Structure_of_Multiplex_Networks"><img alt="Research paper thumbnail of Congestion Induced by the Structure of Multiplex Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/72094636/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967371/Congestion_Induced_by_the_Structure_of_Multiplex_Networks">Congestion Induced by the Structure of Multiplex Networks</a></div><div class="wp-workCard_item"><span>Physical review letters</span><span>, Jan 11, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Multiplex networks are representations of multilayer interconnected complex networks where the no...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Multiplex networks are representations of multilayer interconnected complex networks where the nodes are the same at every layer. They turn out to be good abstractions of the intricate connectivity of multimodal transportation networks, among other types of complex systems. One of the most important critical phenomena arising in such networks is the emergence of congestion in transportation flows. Here, we prove analytically that the structure of multiplex networks can induce congestion for flows that otherwise would be decongested if the individual layers were not interconnected. We provide explicit equations for the onset of congestion and approximations that allow us to compute this onset from individual descriptors of the individual layers. The observed cooperative phenomenon is reminiscent of Braess&#39; paradox in which adding extra capacity to a network when the moving entities selfishly choose their route can in some cases reduce overall performance. Similarly, in the multip...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3798e38bab27afeea3da7264d9c33059" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094636,"asset_id":56967371,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094636/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967371"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967371"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967371; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56967371]").text(description); $(".js-view-count[data-work-id=56967371]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56967371; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='56967371']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 56967371, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3798e38bab27afeea3da7264d9c33059" } } $('.js-work-strip[data-work-id=56967371]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":56967371,"title":"Congestion Induced by the Structure of Multiplex Networks","translated_title":"","metadata":{"abstract":"Multiplex networks are representations of multilayer interconnected complex networks where the nodes are the same at every layer. They turn out to be good abstractions of the intricate connectivity of multimodal transportation networks, among other types of complex systems. One of the most important critical phenomena arising in such networks is the emergence of congestion in transportation flows. Here, we prove analytically that the structure of multiplex networks can induce congestion for flows that otherwise would be decongested if the individual layers were not interconnected. We provide explicit equations for the onset of congestion and approximations that allow us to compute this onset from individual descriptors of the individual layers. The observed cooperative phenomenon is reminiscent of Braess\u0026#39; paradox in which adding extra capacity to a network when the moving entities selfishly choose their route can in some cases reduce overall performance. Similarly, in the multip...","publication_date":{"day":11,"month":1,"year":2016,"errors":{}},"publication_name":"Physical review letters"},"translated_abstract":"Multiplex networks are representations of multilayer interconnected complex networks where the nodes are the same at every layer. They turn out to be good abstractions of the intricate connectivity of multimodal transportation networks, among other types of complex systems. One of the most important critical phenomena arising in such networks is the emergence of congestion in transportation flows. Here, we prove analytically that the structure of multiplex networks can induce congestion for flows that otherwise would be decongested if the individual layers were not interconnected. We provide explicit equations for the onset of congestion and approximations that allow us to compute this onset from individual descriptors of the individual layers. The observed cooperative phenomenon is reminiscent of Braess\u0026#39; paradox in which adding extra capacity to a network when the moving entities selfishly choose their route can in some cases reduce overall performance. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967353"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967353/Information_transfer_in_community_structured_multiplex_networks"><img alt="Research paper thumbnail of Information transfer in community structured multiplex networks" class="work-thumbnail" src="https://attachments.academia-assets.com/72094634/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967353/Information_transfer_in_community_structured_multiplex_networks">Information transfer in community structured multiplex networks</a></div><div class="wp-workCard_item"><span>Frontiers in Physics</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c8410f047143b3c4a01264ce3294cdfd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094634,"asset_id":56967353,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094634/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967353"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967353"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967353; 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The mathematical description of these interacting networks has been coined under the name of multilayer networks, where each layer accounts for a type of interaction. It has been shown that diffusive processes on top of these networks present a phenomenology that cannot be explained by the naive superposition of single layer diffusive phenomena but require the whole structure of interconnected layers. Nevertheless, the description of diffusive phenomena on multilayer networks has obviated the fact that social networks have strong mesoscopic structure represented by different communities of individuals driven by common interests, or any other social aspect. In this work, we study the transfer of information in multilayer networks with community structure. The final goal is to understand and quantify, if the existence of well-defined community structure at the level of individual layers, together with the multilayer structure of the whole network, enhances or deteriorates the diffusion of packets of information.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Frontiers in Physics","grobid_abstract_attachment_id":72094634},"translated_abstract":null,"internal_url":"https://www.academia.edu/56967353/Information_transfer_in_community_structured_multiplex_networks","translated_internal_url":"","created_at":"2021-10-10T10:54:57.524-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33513994,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":72094634,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/72094634/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/72094634/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Information_transfer_in_community_struct.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/72094634/pdf-libre.pdf?1633889806=\u0026response-content-disposition=attachment%3B+filename%3DInformation_transfer_in_community_struct.pdf\u0026Expires=1732485666\u0026Signature=gjZB15ZnuVvg9P4Dr0wfHGI8TH7YTUuS3gWO4uoCSDPWE84dtCuvxAb-j8NW9h~-OqY9s-7dvzcpNaVeAf5toDlc2itS0poYWQZyYGg7ZFd-D4kZdEr48C6ytAUNX1sYSsWYLoNwwGzwX5i56i-V-SKx8aabXVYoYX3wIwoW-K2U2j4wJIr9QdJPnCTdKuKlMDQ0QwgMBo9v9gJlImj0j~7f6VLD38PvD2LCfEESu33giqKHX3a4IiIV~EuzWNhV5pKMXirGhoOtQuoDoLIAzwVx1uCcp6BG9UCbUHxtC5V8odGZkmXLis6k2OvQQ6kxgc6lr-MnUvATJvk7s2X5tw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Information_transfer_in_community_structured_multiplex_networks","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":33513994,"first_name":"Sergio","middle_initials":"","last_name":"Gómez","page_name":"SergioGomez","domain_name":"urv","created_at":"2015-08-01T08:24:15.311-07:00","display_name":"Sergio Gómez","url":"https://urv.academia.edu/SergioGomez"},"attachments":[{"id":72094634,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/72094634/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/72094634/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Information_transfer_in_community_struct.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/72094634/pdf-libre.pdf?1633889806=\u0026response-content-disposition=attachment%3B+filename%3DInformation_transfer_in_community_struct.pdf\u0026Expires=1732485666\u0026Signature=gjZB15ZnuVvg9P4Dr0wfHGI8TH7YTUuS3gWO4uoCSDPWE84dtCuvxAb-j8NW9h~-OqY9s-7dvzcpNaVeAf5toDlc2itS0poYWQZyYGg7ZFd-D4kZdEr48C6ytAUNX1sYSsWYLoNwwGzwX5i56i-V-SKx8aabXVYoYX3wIwoW-K2U2j4wJIr9QdJPnCTdKuKlMDQ0QwgMBo9v9gJlImj0j~7f6VLD38PvD2LCfEESu33giqKHX3a4IiIV~EuzWNhV5pKMXirGhoOtQuoDoLIAzwVx1uCcp6BG9UCbUHxtC5V8odGZkmXLis6k2OvQQ6kxgc6lr-MnUvATJvk7s2X5tw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="56967351"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/56967351/Analytical_Interpretation_of_Feed_Forward_Nets_Outputs_After_Training"><img alt="Research paper thumbnail of Analytical Interpretation of Feed-Forward Nets Outputs After Training" class="work-thumbnail" src="https://attachments.academia-assets.com/72094676/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/56967351/Analytical_Interpretation_of_Feed_Forward_Nets_Outputs_After_Training">Analytical Interpretation of Feed-Forward Nets Outputs After Training</a></div><div class="wp-workCard_item"><span>International Journal of Neural Systems</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The minimization quadratic error criterion which gives rise to the back-propagation algorithm is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The minimization quadratic error criterion which gives rise to the back-propagation algorithm is studied using functional analysis techniques. With them, we recover easily the well-known statistical result which states that the searched global minimum is a function which assigns, to each input pattern, the expected value of its corresponding output patterns. Its application to classification tasks shows that only certain output class representations can be used to obtain the optimal Bayesian decision rule. Finally, our method permits the study of other error criterions, finding out, for instance, that absolute value errors lead to medians instead of mean values.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="58828f0846649cd3f24fe6ce47964663" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72094676,"asset_id":56967351,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72094676/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="56967351"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="56967351"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56967351; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56967351]").text(description); $(".js-view-count[data-work-id=56967351]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56967351; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='56967351']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 56967351, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "58828f0846649cd3f24fe6ce47964663" } } $('.js-work-strip[data-work-id=56967351]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":56967351,"title":"Analytical Interpretation of Feed-Forward Nets Outputs After Training","translated_title":"","metadata":{"abstract":"The minimization quadratic error criterion which gives rise to the back-propagation algorithm is studied using functional analysis techniques. 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In this article we shall first introduce a new multistate perceptron learning nile, and then ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... In this article we shall first introduce a new multistate perceptron learning nile, and then prove the corresponding convergence theorem. ... Our proposal for the multistate perceptron learningnile stems from the following theorem. 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href="https://www.academia.edu/20062606/Optimal_projection_to_estimate_the_proportions_of_the_different_subsamples_in_a_given_mixture_sample"><img alt="Research paper thumbnail of Optimal projection to estimate the proportions of the different subsamples in a given mixture sample" class="work-thumbnail" src="https://attachments.academia-assets.com/41157143/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20062606/Optimal_projection_to_estimate_the_proportions_of_the_different_subsamples_in_a_given_mixture_sample">Optimal projection to estimate the proportions of the different subsamples in a given mixture sample</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VicensGaitan">Vicens Gaitan</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AurelioJuste">Aurelio Juste</a></span></div><div class="wp-workCard_item"><span>Computer Physics Communications</span><span>, 1997</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2bd421b47080ba515765fb1e3e721ee4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41157143,"asset_id":20062606,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41157143/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2bd421b47080ba515765fb1e3e721ee4" } } $('.js-work-strip[data-work-id=20062606]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20062606,"title":"Optimal projection to estimate the proportions of the different subsamples in a given mixture sample","translated_title":"","metadata":{"grobid_abstract":"Given a n-dimensional sample composed of a mixture of m subsamples with different probability density functions (p.d.f.), it is possible to build a 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="15682388"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15682388/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks"><img alt="Research paper thumbnail of Strategical incoherence regulates cooperation in social dilemmas on multiplex networks" class="work-thumbnail" src="https://attachments.academia-assets.com/38763736/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/15682388/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks">Strategical incoherence regulates cooperation in social dilemmas on multiplex networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://hms-harvard.academia.edu/JoanMatamalas">Joan T Matamalas</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JuliaPoncela">Julia Poncela</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner’s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T − S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don’t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="653d07cceae3dff5c5ab1c3682966096" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38763736,"asset_id":15682388,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38763736/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="15682388"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15682388"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15682388; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15682388]").text(description); $(".js-view-count[data-work-id=15682388]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15682388; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15682388']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15682388, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "653d07cceae3dff5c5ab1c3682966096" } } $('.js-work-strip[data-work-id=15682388]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15682388,"title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks","translated_title":"","metadata":{"abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner’s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T − S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don’t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas."},"translated_abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner’s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T − S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don’t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.","internal_url":"https://www.academia.edu/15682388/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_internal_url":"","created_at":"2015-09-14T05:44:29.015-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":27502351,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5826659,"work_id":15682388,"tagging_user_id":27502351,"tagged_user_id":34915849,"co_author_invite_id":1287209,"email":"j***a@gmail.com","display_order":0,"name":"Julia Poncela","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"},{"id":5826660,"work_id":15682388,"tagging_user_id":27502351,"tagged_user_id":33513994,"co_author_invite_id":null,"email":"s***z@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":4194304,"name":"Sergio Gómez","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"},{"id":5826661,"work_id":15682388,"tagging_user_id":27502351,"tagged_user_id":33468097,"co_author_invite_id":null,"email":"a***s@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":6291456,"name":"Alex Arenas","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"}],"downloadable_attachments":[{"id":38763736,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38763736/thumbnails/1.jpg","file_name":"srep09519.pdf","download_url":"https://www.academia.edu/attachments/38763736/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Strategical_incoherence_regulates_cooper.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38763736/srep09519-libre.pdf?1442236641=\u0026response-content-disposition=attachment%3B+filename%3DStrategical_incoherence_regulates_cooper.pdf\u0026Expires=1732485667\u0026Signature=MLm0dKh59uVB8gdEdmDmOwLF6goIxd65fv16nTzArjgXn8aYHE-4VucRiZJ5dj53fFAtYz4TxLMlb56brrBrILUID4E-1xq7~L5yE1rzhINwRoKlteq7LGkVVHkVk6462z-iDCKXIiZw0-2iTGe6wy4bLlkIYPvgCpq~tNzDfPzsyNNKo5MZKFl40riUQ-8c9FrJuQoTy~FVm5tYMSxq5cW0SeD7zNidw6iAlf7mqZoPvi-031obR0qeYgOQph1aeLRSitMLjc8p3TsOXKHb3KvBKzSjoMZ0nAZypCgG~sMi63oqzW2YbOUcHJrAG1BAdkOqODWT2e8r7WpTfd-w6Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":27502351,"first_name":"Joan","middle_initials":"T","last_name":"Matamalas","page_name":"JoanMatamalas","domain_name":"hms-harvard","created_at":"2015-03-09T07:12:30.183-07:00","display_name":"Joan T Matamalas","url":"https://hms-harvard.academia.edu/JoanMatamalas"},"attachments":[{"id":38763736,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38763736/thumbnails/1.jpg","file_name":"srep09519.pdf","download_url":"https://www.academia.edu/attachments/38763736/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Strategical_incoherence_regulates_cooper.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38763736/srep09519-libre.pdf?1442236641=\u0026response-content-disposition=attachment%3B+filename%3DStrategical_incoherence_regulates_cooper.pdf\u0026Expires=1732485667\u0026Signature=MLm0dKh59uVB8gdEdmDmOwLF6goIxd65fv16nTzArjgXn8aYHE-4VucRiZJ5dj53fFAtYz4TxLMlb56brrBrILUID4E-1xq7~L5yE1rzhINwRoKlteq7LGkVVHkVk6462z-iDCKXIiZw0-2iTGe6wy4bLlkIYPvgCpq~tNzDfPzsyNNKo5MZKFl40riUQ-8c9FrJuQoTy~FVm5tYMSxq5cW0SeD7zNidw6iAlf7mqZoPvi-031obR0qeYgOQph1aeLRSitMLjc8p3TsOXKHb3KvBKzSjoMZ0nAZypCgG~sMi63oqzW2YbOUcHJrAG1BAdkOqODWT2e8r7WpTfd-w6Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":757,"name":"Game Theory","url":"https://www.academia.edu/Documents/in/Game_Theory"},{"id":7150,"name":"Complex Systems","url":"https://www.academia.edu/Documents/in/Complex_Systems"},{"id":13113,"name":"Evolutionary Game Theory","url":"https://www.academia.edu/Documents/in/Evolutionary_Game_Theory"},{"id":13330,"name":"Complex Networks","url":"https://www.academia.edu/Documents/in/Complex_Networks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="14853727"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/14853727/Feature_Selection_and_Outliers_Detection_with_Genetic_Algorithms_and_Neural_Networks"><img alt="Research paper thumbnail of Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/39136514/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/14853727/Feature_Selection_and_Outliers_Detection_with_Genetic_Algorithms_and_Neural_Networks">Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://upc.academia.edu/Ren%C3%A9Alqu%C3%A9zar">René Alquézar</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents a new feature selection method and an outliers detec- tion algorithm. The pre...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents a new feature selection method and an outliers detec- tion algorithm. The presented method is based on using a genetic algorithm com- bined with a problem-specific-designed neural network. The d imensional reduc- tion and the outliers detection makes the resulting dataset more suitable for training neural networks. A comparative analysis between different kind of proposed crite- ria to select the features is reported. A number of experimental results have been carried out to demonstrate the usefulness of the presented technique.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e43345a206b8229c7009523778a2f7b5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39136514,"asset_id":14853727,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39136514/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="14853727"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="14853727"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14853727; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14853727]").text(description); $(".js-view-count[data-work-id=14853727]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14853727; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='14853727']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 14853727, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e43345a206b8229c7009523778a2f7b5" } } $('.js-work-strip[data-work-id=14853727]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":14853727,"title":"Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks","translated_title":"","metadata":{"abstract":"This paper presents a new feature selection method and an outliers detec- tion algorithm. The presented method is based on using a genetic algorithm com- bined with a problem-specific-designed neural network. The d imensional reduc- tion and the outliers detection makes the resulting dataset more suitable for training neural networks. A comparative analysis between different kind of proposed crite- ria to select the features is reported. A number of experimental results have been carried out to demonstrate the usefulness of the presented technique."},"translated_abstract":"This paper presents a new feature selection method and an outliers detec- tion algorithm. The presented method is based on using a genetic algorithm com- bined with a problem-specific-designed neural network. The d imensional reduc- tion and the outliers detection makes the resulting dataset more suitable for training neural networks. A comparative analysis between different kind of proposed crite- ria to select the features is reported. 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<div class="js-work-strip profile--work_container" data-work-id="15222647"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15222647/Benchmark_model_to_assess_community_structure_in_evolving_networks"><img alt="Research paper thumbnail of Benchmark model to assess community structure in evolving networks" class="work-thumbnail" src="https://attachments.academia-assets.com/43419849/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/15222647/Benchmark_model_to_assess_community_structure_in_evolving_networks">Benchmark model to assess community structure in evolving networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/SFortunato">S. Fortunato</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://urv.academia.edu/SergioGomez">Sergio Gómez</a></span></div><div class="wp-workCard_item"><span>Physical Review E</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b06059f585ff267e625ac8ebdeb704c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43419849,"asset_id":15222647,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43419849/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="15222647"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15222647"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15222647; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15222647]").text(description); $(".js-view-count[data-work-id=15222647]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15222647; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15222647']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15222647, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b06059f585ff267e625ac8ebdeb704c1" } } $('.js-work-strip[data-work-id=15222647]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15222647,"title":"Benchmark model to assess community structure in evolving networks","translated_title":"","metadata":{"grobid_abstract":"Detecting the time evolution of the community structure of networks is crucial to identify major changes in the internal organization of many complex systems, which may undergo important endogenous or exogenous events. This analysis can be done in two ways: considering each snapshot as an independent community detection problem or taking into account the whole evolution of the network. In the first case, one can apply static methods on the temporal snapshots, which correspond to configurations of the system in short time windows, and match afterwards the communities across layers. Alternatively, one can develop dedicated dynamic procedures, so that multiple snapshots are simultaneously taken into account while detecting communities, which allows us to keep memory of the flow. To check how well a method of any kind could capture the evolution of communities, suitable benchmarks are needed. Here we propose a model for generating simple dynamic benchmark graphs, based on stochastic block models. In them, the time evolution consists of a periodic oscillation of the system's structure between configurations with built-in community structure. We also propose the extension of quality comparison indices to the dynamic scenario.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Physical Review E","grobid_abstract_attachment_id":43419849},"translated_abstract":null,"internal_url":"https://www.academia.edu/15222647/Benchmark_model_to_assess_community_structure_in_evolving_networks","translated_internal_url":"","created_at":"2015-08-27T04:19:30.310-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34285114,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5145692,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":33513994,"co_author_invite_id":null,"email":"s***z@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":0,"name":"Sergio Gómez","title":"Benchmark model to assess community structure in evolving networks"},{"id":5145693,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":33468097,"co_author_invite_id":null,"email":"a***s@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":4194304,"name":"Alex Arenas","title":"Benchmark model to assess community structure in evolving networks"},{"id":5145694,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":38443817,"co_author_invite_id":1157140,"email":"c***l@urv.cat","display_order":6291456,"name":"Clara Granell","title":"Benchmark model to assess community structure in evolving networks"},{"id":5145708,"work_id":15222647,"tagging_user_id":34285114,"tagged_user_id":null,"co_author_invite_id":1157141,"email":"r***d@zgib.net","display_order":7340032,"name":"Richard Darst","title":"Benchmark model to assess community structure in evolving networks"}],"downloadable_attachments":[{"id":43419849,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43419849/thumbnails/1.jpg","file_name":"1501.05808.pdf","download_url":"https://www.academia.edu/attachments/43419849/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Benchmark_model_to_assess_community_stru.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43419849/1501.05808-libre.pdf?1457273420=\u0026response-content-disposition=attachment%3B+filename%3DBenchmark_model_to_assess_community_stru.pdf\u0026Expires=1732485667\u0026Signature=epkzTwuilsOaHsuYYQZBLTs5hm~uK1qDAAnGIn1Sk2yv61ETmHeDYeGlVxZSdzkLhnXT5p7sO4ZTqp5Mh-yGqyw1dWUN4MoVrATRqL5V~gsomG44g5ZxhxCnSd~SPmdbgZLARt3c90YIRWaTyjJgrS~RvD~2Thz60q1xEMOYfxri8DgKkn2pfORsjOtuZCTBJHGnpYek-YrFqGqLnZgsW1~OS3JYEH-gD0Grq7KP2eqPb56I1ZFo1WcBip4KlaWThiCO7YMeZWAKJGMD3gIkpd4xP3W-lcvFyk2IOfx9xUGqjVvRIaf0etJTxHqdyQ6A0UEVw-kDpbVIoLM-e3WjNw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Benchmark_model_to_assess_community_structure_in_evolving_networks","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":34285114,"first_name":"S.","middle_initials":null,"last_name":"Fortunato","page_name":"SFortunato","domain_name":"aalto-fi","created_at":"2015-08-27T04:13:25.976-07:00","display_name":"S. Fortunato","url":"https://aalto-fi.academia.edu/SFortunato"},"attachments":[{"id":43419849,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43419849/thumbnails/1.jpg","file_name":"1501.05808.pdf","download_url":"https://www.academia.edu/attachments/43419849/download_file?st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ4MjA2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Benchmark_model_to_assess_community_stru.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43419849/1501.05808-libre.pdf?1457273420=\u0026response-content-disposition=attachment%3B+filename%3DBenchmark_model_to_assess_community_stru.pdf\u0026Expires=1732485667\u0026Signature=epkzTwuilsOaHsuYYQZBLTs5hm~uK1qDAAnGIn1Sk2yv61ETmHeDYeGlVxZSdzkLhnXT5p7sO4ZTqp5Mh-yGqyw1dWUN4MoVrATRqL5V~gsomG44g5ZxhxCnSd~SPmdbgZLARt3c90YIRWaTyjJgrS~RvD~2Thz60q1xEMOYfxri8DgKkn2pfORsjOtuZCTBJHGnpYek-YrFqGqLnZgsW1~OS3JYEH-gD0Grq7KP2eqPb56I1ZFo1WcBip4KlaWThiCO7YMeZWAKJGMD3gIkpd4xP3W-lcvFyk2IOfx9xUGqjVvRIaf0etJTxHqdyQ6A0UEVw-kDpbVIoLM-e3WjNw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="14549828"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/14549828/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks"><img alt="Research paper thumbnail of Strategical incoherence regulates cooperation in social dilemmas on multiplex networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/14549828/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks">Strategical incoherence regulates cooperation in social dilemmas on multiplex networks</a></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T - S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="14549828"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="14549828"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14549828; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14549828]").text(description); $(".js-view-count[data-work-id=14549828]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14549828; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='14549828']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 14549828, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=14549828]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":14549828,"title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks","translated_title":"","metadata":{"abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T - S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Scientific Reports"},"translated_abstract":"Cooperation is a very common, yet not fully-understood phenomenon in natural and human systems. The introduction of a network within the population is known to affect the outcome of cooperative dynamics, allowing for the survival of cooperation in adverse scenarios. Recently, the introduction of multiplex networks has yet again modified the expectations for the outcome of the Prisoner\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Dilemma game, compared to the monoplex case. However, much remains unstudied regarding other social dilemmas on multiplex, as well as the unexplored microscopic underpinnings of it. In this paper, we systematically study the evolution of cooperation in all four games in the T - S plane on multiplex. More importantly, we find some remarkable and previously unknown features in the microscopic organization of the strategies, that are responsible for the important differences between cooperative dynamics in monoplex and multiplex. Specifically, we find that in the stationary state, there are individuals that play the same strategy in all layers (coherent), and others that don\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;t (incoherent). This second group of players is responsible for the surprising fact of a non full-cooperation in the Harmony Game on multiplex, never observed before, as well as a higher-than-expected cooperation rates in some regions of the other three social dilemmas.","internal_url":"https://www.academia.edu/14549828/Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_internal_url":"","created_at":"2015-08-01T08:30:24.396-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33513994,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":4120187,"work_id":14549828,"tagging_user_id":33513994,"tagged_user_id":33468097,"co_author_invite_id":null,"email":"a***s@urv.cat","affiliation":"Universitat Rovira i Virgili","display_order":0,"name":"Alex Arenas","title":"Strategical incoherence regulates cooperation in social dilemmas on multiplex networks"}],"downloadable_attachments":[],"slug":"Strategical_incoherence_regulates_cooperation_in_social_dilemmas_on_multiplex_networks","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33513994,"first_name":"Sergio","middle_initials":"","last_name":"Gómez","page_name":"SergioGomez","domain_name":"urv","created_at":"2015-08-01T08:24:15.311-07:00","display_name":"Sergio Gómez","url":"https://urv.academia.edu/SergioGomez"},"attachments":[],"research_interests":[{"id":757,"name":"Game Theory","url":"https://www.academia.edu/Documents/in/Game_Theory"},{"id":7150,"name":"Complex Systems","url":"https://www.academia.edu/Documents/in/Complex_Systems"},{"id":13113,"name":"Evolutionary Game Theory","url":"https://www.academia.edu/Documents/in/Evolutionary_Game_Theory"},{"id":13330,"name":"Complex Networks","url":"https://www.academia.edu/Documents/in/Complex_Networks"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":99234,"name":"Animals","url":"https://www.academia.edu/Documents/in/Animals"},{"id":496530,"name":"Community Networks","url":"https://www.academia.edu/Documents/in/Community_Networks"},{"id":1153482,"name":"Cooperative Behavior","url":"https://www.academia.edu/Documents/in/Cooperative_Behavior"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="14549827"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/14549827/Hi_Content_3D_Structure_and_Dynamics_of_the_Virgo_Cluster_Region"><img alt="Research paper thumbnail of Hi Content, 3D Structure and Dynamics of the Virgo Cluster Region" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/14549827/Hi_Content_3D_Structure_and_Dynamics_of_the_Virgo_Cluster_Region">Hi Content, 3D Structure and Dynamics of the Virgo Cluster Region</a></div><div class="wp-workCard_item"><span>Highlights of Spanish Astrophysics III</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="14549827"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="14549827"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14549827; 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