| pubmed-article:20019806 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:20019806 | lifeskim:mentions | umls-concept:C0032659 | lld:lifeskim |
| pubmed-article:20019806 | pubmed:issue | 12 | lld:pubmed |
| pubmed-article:20019806 | pubmed:dateCreated | 2009-12-18 | lld:pubmed |
| pubmed-article:20019806 | pubmed:abstractText | Evolution is shaping the world around us. At the core of every evolutionary process is a population of reproducing individuals. The outcome of an evolutionary process depends on population structure. Here we provide a general formula for calculating evolutionary dynamics in a wide class of structured populations. This class includes the recently introduced "games in phenotype space" and "evolutionary set theory." There can be local interactions for determining the relative fitness of individuals, but we require global updating, which means all individuals compete uniformly for reproduction. We study the competition of two strategies in the context of an evolutionary game and determine which strategy is favored in the limit of weak selection. We derive an intuitive formula for the structure coefficient, sigma, and provide a method for efficient numerical calculation. | lld:pubmed |
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| pubmed-article:20019806 | pubmed:language | eng | lld:pubmed |
| pubmed-article:20019806 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20019806 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:20019806 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:20019806 | pubmed:month | Dec | lld:pubmed |
| pubmed-article:20019806 | pubmed:issn | 1553-7358 | lld:pubmed |
| pubmed-article:20019806 | pubmed:author | pubmed-author:NowakMartin... | lld:pubmed |
| pubmed-article:20019806 | pubmed:author | pubmed-author:TarnitaCorina... | lld:pubmed |
| pubmed-article:20019806 | pubmed:author | pubmed-author:NathansonChar... | lld:pubmed |
| pubmed-article:20019806 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:20019806 | pubmed:volume | 5 | lld:pubmed |
| pubmed-article:20019806 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:20019806 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:20019806 | pubmed:pagination | e1000615 | lld:pubmed |
| pubmed-article:20019806 | pubmed:dateRevised | 2010-9-27 | lld:pubmed |
| pubmed-article:20019806 | pubmed:meshHeading | pubmed-meshheading:20019806... | lld:pubmed |
| pubmed-article:20019806 | pubmed:meshHeading | pubmed-meshheading:20019806... | lld:pubmed |
| pubmed-article:20019806 | pubmed:meshHeading | pubmed-meshheading:20019806... | lld:pubmed |
| pubmed-article:20019806 | pubmed:meshHeading | pubmed-meshheading:20019806... | lld:pubmed |
| pubmed-article:20019806 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:20019806 | pubmed:articleTitle | Calculating evolutionary dynamics in structured populations. | lld:pubmed |
| pubmed-article:20019806 | pubmed:affiliation | Department of Economics, Harvard University, Cambridge, Massachusetts, USA. | lld:pubmed |
| pubmed-article:20019806 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:20019806 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:20019806 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:20019806 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:20019806 | lld:pubmed |
