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Evolution of Cooperation in Social Dilemmas on Complex Networks

Cooperation in social dilemmas is essential for the functioning of systems at multiple levels of complexity, from the simplest biological organisms to the most sophisticated human societies. Cooperation, although widespread, is fundamentally challenging to explain evolutionarily, since natural selec...

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Detalles Bibliográficos
Autores principales: Iyer, Swami, Killingback, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4771135/
https://www.ncbi.nlm.nih.gov/pubmed/26928428
http://dx.doi.org/10.1371/journal.pcbi.1004779
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author Iyer, Swami
Killingback, Timothy
author_facet Iyer, Swami
Killingback, Timothy
author_sort Iyer, Swami
collection PubMed
description Cooperation in social dilemmas is essential for the functioning of systems at multiple levels of complexity, from the simplest biological organisms to the most sophisticated human societies. Cooperation, although widespread, is fundamentally challenging to explain evolutionarily, since natural selection typically favors selfish behavior which is not socially optimal. Here we study the evolution of cooperation in three exemplars of key social dilemmas, representing the prisoner’s dilemma, hawk-dove and coordination classes of games, in structured populations defined by complex networks. Using individual-based simulations of the games on model and empirical networks, we give a detailed comparative study of the effects of the structural properties of a network, such as its average degree, variance in degree distribution, clustering coefficient, and assortativity coefficient, on the promotion of cooperative behavior in all three classes of games.
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spelling pubmed-47711352016-03-07 Evolution of Cooperation in Social Dilemmas on Complex Networks Iyer, Swami Killingback, Timothy PLoS Comput Biol Research Article Cooperation in social dilemmas is essential for the functioning of systems at multiple levels of complexity, from the simplest biological organisms to the most sophisticated human societies. Cooperation, although widespread, is fundamentally challenging to explain evolutionarily, since natural selection typically favors selfish behavior which is not socially optimal. Here we study the evolution of cooperation in three exemplars of key social dilemmas, representing the prisoner’s dilemma, hawk-dove and coordination classes of games, in structured populations defined by complex networks. Using individual-based simulations of the games on model and empirical networks, we give a detailed comparative study of the effects of the structural properties of a network, such as its average degree, variance in degree distribution, clustering coefficient, and assortativity coefficient, on the promotion of cooperative behavior in all three classes of games. Public Library of Science 2016-02-29 /pmc/articles/PMC4771135/ /pubmed/26928428 http://dx.doi.org/10.1371/journal.pcbi.1004779 Text en © 2016 Iyer, Killingback http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Iyer, Swami
Killingback, Timothy
Evolution of Cooperation in Social Dilemmas on Complex Networks
title Evolution of Cooperation in Social Dilemmas on Complex Networks
title_full Evolution of Cooperation in Social Dilemmas on Complex Networks
title_fullStr Evolution of Cooperation in Social Dilemmas on Complex Networks
title_full_unstemmed Evolution of Cooperation in Social Dilemmas on Complex Networks
title_short Evolution of Cooperation in Social Dilemmas on Complex Networks
title_sort evolution of cooperation in social dilemmas on complex networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4771135/
https://www.ncbi.nlm.nih.gov/pubmed/26928428
http://dx.doi.org/10.1371/journal.pcbi.1004779
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