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Influence of the variance of degree distributions on the evolution of cooperation in complex networks

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  • Tsukamoto, Ei
  • Shirayama, Susumu

Abstract

We study how initial network structure affects the evolution of cooperation in a spatial prisoner’s dilemma game. The network structure is characterized by various statistical properties. Among those properties, we focus on the variance of the degree distribution, and inquire how it affects the evolution of cooperation by three methods of imitation. For every method, it was found that a scale-free network does not always promote the evolution of cooperation, and that there exists an appropriate value of the variance, at which cooperation is optimal.

Suggested Citation

  • Tsukamoto, Ei & Shirayama, Susumu, 2010. "Influence of the variance of degree distributions on the evolution of cooperation in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 577-586.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:3:p:577-586
    DOI: 10.1016/j.physa.2009.10.002
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    References listed on IDEAS

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    1. Chen, Ya-Shan & Lin, Hai & Wu, Chen-Xu, 2007. "Evolution of prisoner's dilemma strategies on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 379-384.
    2. Luthi, Leslie & Pestelacci, Enea & Tomassini, Marco, 2008. "Cooperation and community structure in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 955-966.
    3. F. Fu & L.-H. Liu & L. Wang, 2007. "Evolutionary Prisoner's Dilemma on heterogeneous Newman-Watts small-world network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 56(4), pages 367-372, April.
    4. Chen, Xiaojie & Fu, Feng & Wang, Long, 2007. "Prisoner's Dilemma on community networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 512-518.
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    Cited by:

    1. Wu, Jianshe & Hou, Yanqiao & Jiao, Licheng & Li, Huijie, 2014. "Community structure inhibits cooperation in the spatial prisoner’s dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 169-179.
    2. Nagata, Katsuya & Shirayama, Susumu, 2012. "Method of analyzing the influence of network structure on information diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3783-3791.
    3. Fengjie Xie & Jing Shi & Jun Lin, 2017. "Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    4. Zhang, Hui & Wang, Li & Hou, Dongshuang, 2016. "Effect of the spatial autocorrelation of empty sites on the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 296-308.
    5. Li, Yan & Ye, Hang, 2015. "Effect of migration based on strategy and cost on the evolution of cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 76(C), pages 156-165.

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