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Network topology control strategy based on spatial evolutionary public goods game

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  • Li, Zhi
  • Deng, Chuang
  • Suh, Il Hong

Abstract

It is often the case that rational individuals will adjust their connectivity in commercial or social activities for maximizing their payoffs. In this process, we can observe that individuals always gather around a leader or a competitive individual who can bring them more benefits. Inspired by this, we propose a strategy that impels nodes of network to connect with a specific node that we have specified with the perspective of spatial evolutionary public goods game. Thus a node is specified and given a larger enhancement factor which reflects his advantage over others. Then we employ a payoff-oriented preferential rewire strategy that individual will sever a neighbor who provides him with the lowest benefit and then link others randomly. The results illustrate that this strategy not only ensures the promotion of cooperation but also increases the degree of the specified node. Furthermore, we analyze the effect of two relevant parameters: enhancement factor and rewire frequency. We find that if the control strategy expects to work effectively, these two parameters have to ensure an evolution environment where cooperators can prevail defectors. We also conclude that a relatively low rewire frequency contributes to increasing the degree of the specified node. Meanwhile we attempt to present our interpretations for these phenomena.

Suggested Citation

  • Li, Zhi & Deng, Chuang & Suh, Il Hong, 2015. "Network topology control strategy based on spatial evolutionary public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 16-23.
    • Handle: RePEc:eee:phsmap:v:432:y:2015:i:c:p:16-23
    DOI: 10.1016/j.physa.2015.02.101
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    References listed on IDEAS

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    1. Bin Wu & Da Zhou & Feng Fu & Qingjun Luo & Long Wang & Arne Traulsen, 2010. "Evolution of Cooperation on Stochastic Dynamical Networks," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-7, June.
    2. Gao, Jia & Li, Zhi & Wu, Te & Wang, Long, 2010. "Diversity of contribution promotes cooperation in public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3166-3171.
    3. Francisco C Santos & Jorge M Pacheco & Tom Lenaerts, 2006. "Cooperation Prevails When Individuals Adjust Their Social Ties," PLOS Computational Biology, Public Library of Science, vol. 2(10), pages 1-8, October.
    4. Francisco C. Santos & Marta D. Santos & Jorge M. Pacheco, 2008. "Social diversity promotes the emergence of cooperation in public goods games," Nature, Nature, vol. 454(7201), pages 213-216, July.
    5. Flávio L Pinheiro & Jorge M Pacheco & Francisco C Santos, 2012. "From Local to Global Dilemmas in Social Networks," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-6, February.
    6. C. Y. Zhang & J. L. Zhang & G. M. Xie & L. Wang, 2011. "Coevolving agent strategies and network topology for the public goods games," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 80(2), pages 217-222, March.
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    Cited by:

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    6. Fan, Ruguo & Zhang, Yingqing & Luo, Ming & Zhang, Hongjuan, 2017. "Promotion of cooperation induced by heterogeneity of both investment and payoff allocation in spatial public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 454-463.

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