Coevolution of game and network structure with adjustable linking

Shao-Meng Qin, Guo-Yong Zhang and Yong Chen

Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 23, 4893-4900

Abstract: Most papers about the evolutionary game on graph assume the statistic network structure. However, in the real world, social interaction could change the relationship among people. And the change of social structure will also affect people’s strategies. We build a coevolution model of prisoner’s dilemma game and network structure to study the dynamic interaction in the real world. Differing from other coevolution models, players rewire their network connections according to the density of cooperation and other players’ payoffs. We use a parameter α to control the effect of payoff in the process of rewiring. Based on the asynchronous update rule and Monte Carlo simulation, we find that, when players prefer to rewire their links to those who are richer, the temptation can increase the cooperation density.

Keywords: Decision theory and game theory; Dynamics of social systems; Structures and organization in complex systems; Networks and genealogical trees (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:388:y:2009:i:23:p:4893-4900

DOI: 10.1016/j.physa.2009.08.010

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