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Networking effects on evolutionary snowdrift game in networks with fixed degrees

Author

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  • Xu, C.
  • Hui, P.M.
  • Zheng, Da-Fang

Abstract

We study the effects of spatial structures other than the degree distribution on the extent of the emergence of cooperation in an evolutionary snowdrift game. By swapping the links in three different types of regular lattices with a fixed degree k, we study how the frequency of cooperator fC changes as the clustering coefficient (CC), which signifies how the nearest neighbors of a vertex are connected, and the sharing coefficient (SC), which signifies how the next-nearest neighbors of a vertex are shared by the nearest neighbors, are varied. For small k, a non-vanishing CC tends to suppress fC. A non-vanishing SC also leads to a suppressed fC for the networks studied. As the degree increases, the sensitivity of fC to the network properties is found to become increasingly weak. The result is discussed within the context of the ranking patterns of average payoffs as k changes. An approximation for fC, which is based on the idea of a finite fully connected network and gives results in good agreement with numerical results, is derived in the limit of large k.

Suggested Citation

  • Xu, C. & Hui, P.M. & Zheng, Da-Fang, 2007. "Networking effects on evolutionary snowdrift game in networks with fixed degrees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 773-780.
  • Handle: RePEc:eee:phsmap:v:385:y:2007:i:2:p:773-780
    DOI: 10.1016/j.physa.2007.07.038
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    Citations

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    Cited by:

    1. Zhong, Shiquan & Jia, Ning & Ma, Shoufeng, 2014. "Iterated snowdrift game among mobile agents with myopic expected-reward based decision rule: Numerical and analytical research," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 6-18.
    2. Ke, Jianhong & Li, Ping-Ping & Lin, Zhenquan, 2022. "Dissatisfaction-driven replicator dynamics of the evolutionary snowdrift game in structured populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    3. Wu, Jiadong & Zhao, Chengye, 2020. "Better immigration: Prisoner’s dilemma game with population change on dynamic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).

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