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A graph-based model for public goods with leaderships

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  • Bahbouhi, Jalal Eddine
  • Moussa, Najem

Abstract

So far, research into pubic goods games has been limited to studying the effects of leadership in an experimental works. The results found differ according to the population studied, the number of participants and the country chosen, which makes ideas imprecise when it comes to understanding how cooperation evolves. In this article we try to generalize these works by introducing an agent-based model to simulate interactions in public goods games on a graph, and study the impact of leadership by example on the evolution of cooperation among selfish individuals in a scale-free network. Consistent with recent experimental studies, our results show that leading by example leads to a significant increase in the overall contribution and the group’s welfare, as compared to the situation without leadership. We have demonstrated also that strong leaders have an important role in promoting optimal cooperation in public goods games and consequently they bring more welfare to their groups.

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  • Bahbouhi, Jalal Eddine & Moussa, Najem, 2019. "A graph-based model for public goods with leaderships," Applied Mathematics and Computation, Elsevier, vol. 349(C), pages 53-61.
    • Handle: RePEc:eee:apmaco:v:349:y:2019:i:c:p:53-61
    DOI: 10.1016/j.amc.2018.12.038
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    References listed on IDEAS

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    Cited by:

    1. Zhong, Xiaowen & Fan, Ying & Di, Zengru, 2021. "The evolution of cooperation in public goods games on signed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    2. Bahbouhi, Jalal Eddine & Elkouay, Abdelali & Bouderba, Saif Islam & Moussa, Najem, 2024. "The whale optimization algorithm and the evolution of cooperation in the spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    3. Wang, Xiaofeng & Perc, Matjaž, 2021. "Emergence of cooperation in spatial social dilemmas with expulsion," Applied Mathematics and Computation, Elsevier, vol. 402(C).

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