The evolutionary public goods game model with punishment mechanism in an activity-driven network
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DOI: 10.1016/j.chaos.2019.04.015
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Cited by:
- Zhang, Peipei & Li, Dandan, 2023. "A generalized public goods game model based on Nash bargaining," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
- Han, Dun & He, Youxin, 2023. "The impact of labor subsidy, taxation and corruption on individual behavior," Applied Mathematics and Computation, Elsevier, vol. 458(C).
- Xu, Wei & Li, Dandan & Han, Dun & Sun, Mei, 2024. "The impact of relationship stickiness and memory on the evolution of individual behavior," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
- Zeng, Ziyan & Li, Yuhan & Feng, Minyu, 2022. "The spatial inheritance enhances cooperation in weak prisoner’s dilemmas with agents’ exponential lifespan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
- Wang, Mengyao & Pan, Qiuhui & He, Mingfeng, 2020. "The interplay of behaviors and attitudes in public goods game considering environmental investment," Applied Mathematics and Computation, Elsevier, vol. 382(C).
- Wang, Chaoqian & Huang, Chaochao, 2022. "Between local and global strategy updating in public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
- Li, Dandan & Sun, Xiaoxiao & He, Youxin & Han, Dun, 2022. "On prisoner’s dilemma game with psychological bias and memory learning," Applied Mathematics and Computation, Elsevier, vol. 433(C).
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Keywords
Activity driven network; Public goods game; Antisocial punishment; The maximal fine of punishment; The maximal cost of punishment;All these keywords.
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