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Fast-response and low-tolerance promotes cooperation in cascading system collapse

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  • Tan, Huaiyu
  • He, Zhixue
  • Du, Chunpeng
  • Shi, Lei

Abstract

In this paper, we investigate the impact of cascading exit on the evolution of cooperation in structured populations. Specifically, we introduce “rational choice” and “community of interest” in evolutionary games to define the exit rules. Exit behavior is determined by (i) an edge tolerance threshold when being exploited and (ii) the triangle exit rule that a focal player interrupts the interaction with its neighbor’s opponent which belongs to the joint neighborhood set. Results from Monte Carlo simulation show that the edge-based exit can promote the short-term cooperation, but it ultimately goes to extinction. At the same time, this process also triggers the effect of the second-order exit rule, which destroys the network topology completely. The fast-response and low-tolerance not only slows down the decomposition of network structures, but also delays the extinction of cooperation. Moreover, we find that the termination time of the network evolution exhibits an exponential distribution while the proportion of the remaining nodes exhibits a decreasing non-linear relationship. Our results shed some new lights on the coupling effects of the evolution of cooperation in the structured population with the network cascading process.

Suggested Citation

  • Tan, Huaiyu & He, Zhixue & Du, Chunpeng & Shi, Lei, 2023. "Fast-response and low-tolerance promotes cooperation in cascading system collapse," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922010955
    DOI: 10.1016/j.chaos.2022.112916
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    References listed on IDEAS

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    1. Xuelong Li & Marko Jusup & Zhen Wang & Huijia Li & Lei Shi & Boris Podobnik & H. Eugene Stanley & Shlomo Havlin & Stefano Boccaletti, 2018. "Punishment diminishes the benefits of network reciprocity in social dilemma experiments," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(1), pages 30-35, January.
    2. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
    3. Ash, J. & Newth, D., 2007. "Optimizing complex networks for resilience against cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 673-683.
    4. Guo, H. & Jia, D. & Sendiña-Nadal, I. & Zhang, M. & Wang, Z. & Li, X. & Alfaro-Bittner, K. & Moreno, Y. & Boccaletti, S., 2021. "Evolutionary games on simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    5. Joseph Henrich & Robert Boyd & Samuel Bowles & Colin Camerer & Ernst Fehr & Herbert Gintis & Richard McElreath, 2001. "Cooperation, Reciprocity and Punishment in Fifteen Small-scale Societies," Working Papers 01-01-007, Santa Fe Institute.
    6. Wang, Hui & Huang, Jinyuan & Xu, Xiaomin & Xiao, Yanghua, 2014. "Damage attack on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 134-148.
    7. Zheng, Jian-Feng & Gao, Zi-You & Zhao, Xiao-Mei, 2007. "Modeling cascading failures in congested complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 700-706.
    8. Iacopo Iacopini & Giovanni Petri & Alain Barrat & Vito Latora, 2019. "Simplicial models of social contagion," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    9. Tanimoto, Jun & Yamauchi, Atsuo, 2010. "Does “game participation cost” affect the advantage of heterogeneous networks for evolving cooperation?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(11), pages 2284-2289.
    10. Zhu, Zhewen & Dong, Yuting & Lu, Yikang & Shi, Lei, 2021. "Information exchange promotes and jeopardizes cooperation on interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    11. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    12. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
    13. Orbell, John M. & Schwartz-Shea, Peregrine & Simmons, Randy T., 1984. "Do Cooperators Exit More Readily than Defectors?," American Political Science Review, Cambridge University Press, vol. 78(1), pages 147-162, March.
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