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Interdependency enriches the spatial reciprocity in prisoner’s dilemma game on weighted networks

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  • Meng, Xiaokun
  • Sun, Shiwen
  • Li, Xiaoxuan
  • Wang, Li
  • Xia, Chengyi
  • Sun, Junqing

Abstract

To model the evolution of cooperation under the realistic scenarios, we propose an interdependent network-based game model which simultaneously considers the difference of individual roles in the spatial prisoner’s dilemma game. In our model, the system is composed of two lattices on which an agent designated as a cooperator or defector will be allocated, meanwhile each agent will be endowed as a specific weight taking from three typical distributions on one lattice (i.e., weighted lattice), and set to be 1.0 on the other one (i.e., un-weighted or standard lattice). In addition, the interdependency will be built through the utility coupling between point-to-point partners. Extensive simulations indicate that the cooperation will be continuously elevated for the weighted lattice as the utility coupling strength (α) increases; while the cooperation will take on a nontrivial evolution on the standard lattice as α varies, and will be still greatly promoted when compared to the case of α=0. At the same time, the full T−K phase diagrams are also explored to illustrate the evolutionary behaviors, and it is powerfully shown that the interdependency drives the defectors to survive within the narrower range, but individual weighting of utility will further broaden the coexistence space of cooperators and defectors, which renders the nontrivial evolution of cooperation in our model. Altogether, the current consequences about the evolution of cooperation will be helpful for us to provide the insights into the prevalent cooperation phenomenon within many real-world systems.

Suggested Citation

  • Meng, Xiaokun & Sun, Shiwen & Li, Xiaoxuan & Wang, Li & Xia, Chengyi & Sun, Junqing, 2016. "Interdependency enriches the spatial reciprocity in prisoner’s dilemma game on weighted networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 388-396.
  • Handle: RePEc:eee:phsmap:v:442:y:2016:i:c:p:388-396
    DOI: 10.1016/j.physa.2015.08.031
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    Citations

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    Cited by:

    1. Deng, Lili & Wang, Hongsi & Wang, Rugen & Xu, Ronghua & Wang, Cheng, 2024. "The adaptive adjustment of node weights based on reputation and memory promotes fairness," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    2. Liu, Yuanming & Huang, Changwei & Dai, Qionglin, 2018. "Preferential selection based on strategy persistence and memory promotes cooperation in evolutionary prisoner’s dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 481-489.
    3. Ding, Chenxi & Wang, Juan & Zhang, Ying, 2016. "Impact of self interaction on the evolution of cooperation in social spatial dilemmas," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 393-399.
    4. Wang, Chengjiang & Wang, Li & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2017. "Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 18-29.
    5. Li, Xiaopeng & Sun, Shiwen & Xia, Chengyi, 2019. "Reputation-based adaptive adjustment of link weight among individuals promotes the cooperation in spatial social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 810-820.
    6. Gao, Bo & Hong, Jie & Guo, Hao & Dong, Suyalatu & Lan, Zhong-Zhou, 2023. "Cooperative evolution and symmetry breaking in interdependent networks based on alliance mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    7. Zhang, Yingchao & Ning, Hongyun & Wang, Juan & Xia, Chengyi, 2017. "Coveting the successful neighbor promotes the cooperation for the spatial public goods game on two-layered lattices," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 29-37.
    8. Zhou, Tianwei & Ding, Shuai & Fan, Wenjuan & Wang, Hao, 2016. "An improved public goods game model with reputation effect on the spatial lattices," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 130-135.
    9. Deng, Lili & Lin, Ying & Wang, Cheng & Xu, Ronghua & Zhou, Gengui, 2020. "Effects of coupling strength and coupling schemes between interdependent lattices on the evolutionary ultimatum game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    10. Han, Xu & Zhao, Xiaowei & Xia, Haoxiang, 2018. "Promotion of cooperation by adaptive interaction: The role of heterogeneity in neighborhoods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 483-491.
    11. Allen, James M. & Hoyle, Rebecca B., 2017. "Asynchronous updates can promote the evolution of cooperation on multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 607-619.
    12. Liu, Yangyang & Zhao, Chengli & Zhang, Xue & Yi, Dongyun & Chen, Wen, 2018. "Core structure: The coupling failure procedure in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 1-11.
    13. Hu, Kaipeng & Guo, Hao & Geng, Yini & Shi, Lei, 2019. "The effect of conformity on the evolution of cooperation in multigame," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 267-272.
    14. Yang, Xiqing & Zhang, Feng & Wang, Wanxiong, 2019. "Predation promotes cooperation in Prisoner’s dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 20-24.
    15. Dehghani, Sedigheh & Nazarimehr, Fahimeh & Jafari, Sajad, 2021. "How can cultural conditions affect society’s decisions?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    16. You, Tao & Zhang, Hailun & Zhang, Ying & Li, Qing & Zhang, Peng & Yang, Mei, 2022. "The influence of experienced guider on cooperative behavior in the Prisoner’s dilemma game," Applied Mathematics and Computation, Elsevier, vol. 426(C).

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