Coevolution between strategy and social networks structure promotes cooperation
作者： Jiaqi Li , Chunyan Zhang , Qinglin Sun , Zengqiang Chen
DOI: 10.1016/J.CHAOS.2015.06.006
关键词:
摘要: Abstract We put forward a computational model which mainly focuses on the effect of individual’s partner switching process to characterize coevolutionary behaviors within real-world systems. consider following factors income individuals in tth and ( t − 1 )th generation, average their neighbors, policy states neighbors cumulative number betrayal up generation mutual information individuals, constitute dynamic evolution an adaptive network game based linear combination above-mentioned factors. It is found that cooperation promoted even fraction cooperators reaches 100%, can be attributed entangled individual strategy structure. show emerging social networks exhibit assortative mixing pattern high heterogeneity. Moreover, different population size N edge M, influence development factor, stability system are investigated by extensive numerical simulations. Our results, some extent reflect underlying mechanism promoting cooperation.
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