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pubmed-article:21117963pubmed:dateCreated2010-12-14lld:pubmed
pubmed-article:21117963pubmed:abstractTextOur understanding of how cooperation can arise in a population of selfish individuals has been greatly advanced by theory. More than one approach has been used to explore the effect of population structure. Inclusive fitness theory uses genetic relatedness r to express the role of population structure. Evolutionary graph theory models the evolution of cooperation on network structures and focuses on the number of interacting partners k as a quantity of interest. Here we use empirical data from a hierarchically structured animal contact network to examine the interplay between independent, measurable proxies for these key parameters. We find strong inverse correlations between estimates of r and k over three levels of social organization, suggesting that genetic relatedness and social contact structure capture similar structural information in a real population.lld:pubmed
pubmed-article:21117963pubmed:languageenglld:pubmed
pubmed-article:21117963pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
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pubmed-article:21117963pubmed:issn1537-5323lld:pubmed
pubmed-article:21117963pubmed:authorpubmed-author:JamesRichardRlld:pubmed
pubmed-article:21117963pubmed:authorpubmed-author:TraulsenArneAlld:pubmed
pubmed-article:21117963pubmed:authorpubmed-author:WolfJochen...lld:pubmed
pubmed-article:21117963pubmed:issnTypeElectroniclld:pubmed
pubmed-article:21117963pubmed:volume177lld:pubmed
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pubmed-article:21117963pubmed:pagination135-42lld:pubmed
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pubmed-article:21117963pubmed:year2011lld:pubmed
pubmed-article:21117963pubmed:articleTitleExploring the Link between Genetic Relatedness r and Social Contact Structure k in Animal Social Networks.lld:pubmed
pubmed-article:21117963pubmed:affiliationDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany. jochen.wolf@ebc.uu.selld:pubmed
pubmed-article:21117963pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:21117963pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed