Coevolution of game and network structure: The temptation increases the cooperator density
Shao-Meng Qin, Guo-Yong Zhang, and Yong Chen

TL;DR
This paper introduces a coevolutionary model of the prisoner's dilemma game and network structure, revealing that players rewiring links to wealthier neighbors increases cooperation density.
Contribution
It presents a novel coevolutionary framework combining game dynamics and network evolution, highlighting the impact of social rewiring preferences on cooperation.
Findings
Rewiring to richer neighbors boosts cooperation density
The model uses asynchronous updates and Monte Carlo simulations
Social structure changes influence strategy evolution
Abstract
Most papers about the evolutionary game on graph assume the statistic network structure. However, social interaction could change the relationship of people. And the changing social structure will affect the people's strategy too. We build a coevolutionary model of prisoner's dilemma game and network structure to study the dynamic interaction in the real world. Based on the asynchronous update rule and Monte Carlo simulation, we find that, when players prefer to rewire their links to the richer, the cooperation density will increase. The reason of it has been analyzed.
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
