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Role of recommendation in spatial public goods games

Author

Listed:
  • Yang, Zhihu
  • Li, Zhi
  • Wu, Te
  • Wang, Long

Abstract

We study the role of recommendation in a co-evolutionary public goods game in which groups can recommend their members for establishment of new relationships with individuals outside the current group according to group quality. Intriguingly, for square lattices and ER graphs there exists optimal group quality for recommendation that induces positive feedback between cooperation and recommendation. Snapshots of spatial patterns of cooperators, defectors, recommended cooperators and recommended defectors show that if group quality is appropriate for recommendation, cooperation and recommendation can simultaneously emerge. Moreover, we find that local recommendation improves cooperation more than global recommendation. As an extension, we also present results for Barabási–Albert networks. The positive effect of recommendation on cooperation for Barabási–Albert networks is independent of group quality. Our results provide an insight into the evolution of cooperation in real social systems.

Suggested Citation

  • Yang, Zhihu & Li, Zhi & Wu, Te & Wang, Long, 2013. "Role of recommendation in spatial public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2038-2045.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:9:p:2038-2045
    DOI: 10.1016/j.physa.2012.11.024
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    Citations

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    Cited by:

    1. Wang, Yongjie & Chen, Tong, 2015. "Heuristics guide cooperative behaviors in public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 59-65.
    2. Yin, Likang & Deng, Yong, 2018. "Measuring transferring similarity via local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 102-115.
    3. Lu, Peng, 2015. "Individual choice and reputation distribution of cooperative behaviors among heterogeneous groups," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 39-46.
    4. Lu, Peng & Wang, Fang, 2015. "Heterogeneity of inferring reputation probability in cooperative behaviors for the spatial prisoners’ dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 367-378.
    5. Eben Friedman, 2015. "Introduction to the Special Issue “Talking about Roma: Implications for Social Inclusion”," Social Inclusion, Cogitatio Press, vol. 3(5), pages 1-4.
    6. Ioannis Dionysopoulos, 2013. "Olympic Games and their Commercialization," Ekonomika a Management, Prague University of Economics and Business, vol. 2013(4).
    7. Shuhua Chang & Zhipeng Zhang & Yu Li & Yu E Wu & Yunya Xie, 2018. "Investment preference promotes cooperation in spatial public goods game," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-14, November.
    8. Liu, Siyuan & Zhang, Chunyan & Li, Kun & Zhang, Jianlei, 2022. "Exploring the inducement for social dilemma and cooperation promotion mechanisms in structured populations," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    9. Lu, Peng, 2015. "Learn good from bad: Effects of good and bad neighbors in spatial prisoners’ dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 351-358.
    10. Tzu-Chieh Lin & Kung Jeng Wang, 2021. "Project-based maturity assessment model for smart transformation in Taiwanese enterprises," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.
    11. Lu, Peng, 2015. "Imitating winner or sympathizing loser? Quadratic effects on cooperative behavior in prisoners’ dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 327-337.
    12. Peng Lu & Xiaoping Zheng, 2015. "Social Stratification and Cooperative Behavior in Spatial Prisoners' Dilemma Games," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.

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