pubmed-article:21117963 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C0003062 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C0150775 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C0237101 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C0314603 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C0678594 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C1704666 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C1517892 | lld:lifeskim |
pubmed-article:21117963 | lifeskim:mentions | umls-concept:C0208973 | lld:lifeskim |
pubmed-article:21117963 | pubmed:issue | 1 | lld:pubmed |
pubmed-article:21117963 | pubmed:dateCreated | 2010-12-14 | lld:pubmed |
pubmed-article:21117963 | pubmed:abstractText | Our 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:21117963 | pubmed:language | eng | lld:pubmed |
pubmed-article:21117963 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:21117963 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:21117963 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:21117963 | pubmed:month | Jan | lld:pubmed |
pubmed-article:21117963 | pubmed:issn | 1537-5323 | lld:pubmed |
pubmed-article:21117963 | pubmed:author | pubmed-author:JamesRichardR | lld:pubmed |
pubmed-article:21117963 | pubmed:author | pubmed-author:TraulsenArneA | lld:pubmed |
pubmed-article:21117963 | pubmed:author | pubmed-author:WolfJochen... | lld:pubmed |
pubmed-article:21117963 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:21117963 | pubmed:volume | 177 | lld:pubmed |
pubmed-article:21117963 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:21117963 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:21117963 | pubmed:pagination | 135-42 | lld:pubmed |
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pubmed-article:21117963 | pubmed:meshHeading | pubmed-meshheading:21117963... | lld:pubmed |
pubmed-article:21117963 | pubmed:year | 2011 | lld:pubmed |
pubmed-article:21117963 | pubmed:articleTitle | Exploring the Link between Genetic Relatedness r and Social Contact Structure k in Animal Social Networks. | lld:pubmed |
pubmed-article:21117963 | pubmed:affiliation | Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany. jochen.wolf@ebc.uu.se | lld:pubmed |
pubmed-article:21117963 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:21117963 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |