Evolutionary prisoner's dilemma game on highly clustered community networks
Liu Yong-Kui(刘永奎)a)†, Li Zhi(李智)a)‡, Chen Xiao-Jie(陈小杰)b), and Wang Long(王龙)a)b)\S
a Center for Complex Systems, Department of Automatic Control Engineering, Xidian University, Xi'an 710071, China; b State Key Laboratory for Turbulence and Complex Systems,Center for Systems and Control, College of Engineering, Peking University,Beijing 100871, China
Abstract This paper studies the evolutionary prisoner's dilemma game on a highly clustered community network in which the clustering coefficient and the community size can be tuned. It finds that the clustering coefficient in such a degree-homogeneous network inhibits the emergence of cooperation for the entire range of the payoff parameter. Moreover, it finds that the community size can also have a marked influence on the evolution of cooperation, with a larger community size leading to not only a lower cooperation level but also a smaller threshold of the payoff parameter above which cooperators become extinct.
Received: 09 September 2008
Revised: 24 October 2008
Accepted manuscript online:
Fund: Project supported by the National
Natural Science Foundation of China (Grant Nos 70671079, 60674050,
60736022 and 60528007), National 973 Program (Grant No
2002CB312200), National 863 Program (Grant No
2006AA04Z258) and 11-5 project (Grant No A2120061303).
Cite this article:
Liu Yong-Kui(刘永奎), Li Zhi(李智), Chen Xiao-Jie(陈小杰), and Wang Long(王龙) Evolutionary prisoner's dilemma game on highly clustered community networks 2009 Chin. Phys. B 18 2623
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