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Evolutionary dynamics on any population structure.

Authors :
Allen, Benjamin
Lippner, Gabor
Chen, Yu-Ting
Fotouhi, Babak
Momeni, Naghmeh
Yau, Shing-Tung
Nowak, Martin A.
Source :
Nature; 4/13/2017, Vol. 544 Issue 7649, p227-230, 4p, 5 Diagrams, 1 Chart, 3 Graphs
Publication Year :
2017

Abstract

Evolution occurs in populations of reproducing individuals. The structure of a population can affect which traits evolve. Understanding evolutionary game dynamics in structured populations remains difficult. Mathematical results are known for special structures in which all individuals have the same number of neighbours. The general case, in which the number of neighbours can vary, has remained open. For arbitrary selection intensity, the problem is in a computational complexity class that suggests there is no efficient algorithm. Whether a simple solution for weak selection exists has remained unanswered. Here we provide a solution for weak selection that applies to any graph or network. Our method relies on calculating the coalescence times of random walks. We evaluate large numbers of diverse population structures for their propensity to favour cooperation. We study how small changes in population structure-graph surgery-affect evolutionary outcomes. We find that cooperation flourishes most in societies that are based on strong pairwise ties. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
544
Issue :
7649
Database :
Complementary Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
122539896
Full Text :
https://doi.org/10.1038/nature21723