title: The σ law of evolutionary dynamics in community-structured population.
abstract: Evolutionary game dynamics in finite populations provide a new framework to understand the selection of traits with frequency-dependent fitness. Recently, a simple but fundamental law of evolutionary dynamics, which we call σ law, describes how to determine the selection between two competing strategies: in most evolutionary processes with two strategies, A and B, strategy A is favored over B in weak selection if and only if σR+S>T+σP. This relationship holds for a wide variety of structured populations with mutation rate and weak selection under certain assumptions. In this paper, we propose a model of games based on a community-structured population and revisit this law under the Moran process. By calculating the average payoffs of A and B individuals with the method of effective sojourn time, we find that σ features not only the structured population characteristics, but also the reaction rate between individuals. That is to say, an interaction between two individuals are not uniform, and we can take σ as a reaction rate between any two individuals with the same strategy. We verify this viewpoint by the modified replicator equation with non-uniform interaction rates in a simplified version of the prisoner's dilemma game (PDG).
authors.affiliation: Adaptive Networks and Control Laboratory, Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
authors.forename: Changbing
authors.initials: C
authors.lastname: Tang
authors.forename: Xiang
authors.initials: X
authors.lastname: Li
authors.forename: Lang
authors.initials: L
authors.lastname: Cao
authors.forename: Jingyuan
authors.initials: J
authors.lastname: Zhan
mesh_terms: D000818:Animals; D005075:Biological Evolution; D005716:Game Theory; D008957:Models, Genetic; D011156:Population Density; D012641:Selection, Genetic