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Effects of average degree on cooperation in networked evolutionary game


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  • C.-L. Tang
  • W.-X. Wang


  • X. Wu
  • B.-H. Wang


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    We study effects of average degree on cooperation in the networked prisoner's dilemma game. Typical structures are considered, including random networks, small-world networks and scale-free networks. Simulation results show that the average degree plays a universal role in cooperation occurring on all these networks, that is the density of cooperators peaks at some specific values of the average degree. Moreover, we investigated the average payoff of players through numerical simulations together with theoretical predictions and found that simulation results agree with the predictions. Our work may be helpful in understanding network effects on the evolutionary games. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2006

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    Bibliographic Info

    Article provided by Springer in its journal The European Physical Journal B - Condensed Matter and Complex Systems.

    Volume (Year): 53 (2006)
    Issue (Month): 3 (October)
    Pages: 411-415

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    Handle: RePEc:spr:eurphb:v:53:y:2006:i:3:p:411-415

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    Keywords: 02.50.Le Decision theory and game theory; 89.75.Hc Networks and genealogical trees; 89.65.-s Social and economic systems; 05.10.-a Computational methods in statistical physics and nonlinear dynamics;


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    Cited by:
    1. Zhuang, Qian & Wang, Dong & Fan, Ying & Di, Zengru, 2012. "Evolution of cooperation in a heterogeneous population with influential individuals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1735-1741.
    2. Chen, Zhuo & Gao, Jianxi & Cai, Yunze & Xu, Xiaoming, 2011. "Evolutionary prisoner’s dilemma game in flocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 50-56.
    3. Chen, Zhuo & Gao, Jianxi & Cai, Yunze & Xu, Xiaoming, 2011. "Evolution of cooperation among mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1615-1622.
    4. Zhong, Weicai & Abbass, Hussein A. & Bender, Axel & Liu, Jing, 2011. "Mixed strategy and coevolution dynamics in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 410-417.
    5. Faqi Du & Feng Fu, 2011. "Partner Selection Shapes the Strategic and Topological Evolution of Cooperation," Dynamic Games and Applications, Springer, vol. 1(3), pages 354-369, September.


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