Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups

Either in microlevel organizations or macrolevel societies, the individuals acquire benefits or payoffs by forming interdependency groups linked by common interests. Conducting research on the effects of interdependency groups on the evolution of cooperation could have a better understanding of the...

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Main Authors: Xuzhen Zhu, Xin Su, Jinming Ma, Hui Tian, RunRan Liu
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/8670802
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author Xuzhen Zhu
Xin Su
Jinming Ma
Hui Tian
RunRan Liu
author_facet Xuzhen Zhu
Xin Su
Jinming Ma
Hui Tian
RunRan Liu
author_sort Xuzhen Zhu
collection DOAJ
description Either in microlevel organizations or macrolevel societies, the individuals acquire benefits or payoffs by forming interdependency groups linked by common interests. Conducting research on the effects of interdependency groups on the evolution of cooperation could have a better understanding of the social dilemma problem. In this paper, we studied a spatial public goods game with nonlocal interdependency groups where each of participants is located in a two-dimensional square lattice or Watts–Strogatz small-world network with payoffs obtaining from the interactions with nearest neighbors. In terms of the enhancement factor, the effects of group density on the evolutionary cooperation can be quite different. For a low enhancement factor, the cooperation level is a nonmonotonic function with the varying density of interdependency groups in the system, which means a proper density of interdependency groups can best promote the cooperative level. For a moderate enhancement factor, a higher density of interdependency groups can always correspond to a higher cooperative level. However, if the enhancement factor is too high, a high density of interdependency groups can impede the evolutionary cooperation. We give the explanations for the different roles of group density of interdependency by using the transition probabilities of C players into D players as well as the reverse. Our findings are very helpful for the understanding of emergence cooperation as well as the cooperation regulation in the selfish individuals.
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institution Kabale University
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spelling doaj-art-087b620095b0453bb4c69a9de5e572072025-02-03T06:13:03ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/86708028670802Evolutionary Cooperation in Networked Public Goods Game with Dependency GroupsXuzhen Zhu0Xin Su1Jinming Ma2Hui Tian3RunRan Liu4State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaResearch Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, ChinaEither in microlevel organizations or macrolevel societies, the individuals acquire benefits or payoffs by forming interdependency groups linked by common interests. Conducting research on the effects of interdependency groups on the evolution of cooperation could have a better understanding of the social dilemma problem. In this paper, we studied a spatial public goods game with nonlocal interdependency groups where each of participants is located in a two-dimensional square lattice or Watts–Strogatz small-world network with payoffs obtaining from the interactions with nearest neighbors. In terms of the enhancement factor, the effects of group density on the evolutionary cooperation can be quite different. For a low enhancement factor, the cooperation level is a nonmonotonic function with the varying density of interdependency groups in the system, which means a proper density of interdependency groups can best promote the cooperative level. For a moderate enhancement factor, a higher density of interdependency groups can always correspond to a higher cooperative level. However, if the enhancement factor is too high, a high density of interdependency groups can impede the evolutionary cooperation. We give the explanations for the different roles of group density of interdependency by using the transition probabilities of C players into D players as well as the reverse. Our findings are very helpful for the understanding of emergence cooperation as well as the cooperation regulation in the selfish individuals.http://dx.doi.org/10.1155/2019/8670802
spellingShingle Xuzhen Zhu
Xin Su
Jinming Ma
Hui Tian
RunRan Liu
Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups
Complexity
title Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups
title_full Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups
title_fullStr Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups
title_full_unstemmed Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups
title_short Evolutionary Cooperation in Networked Public Goods Game with Dependency Groups
title_sort evolutionary cooperation in networked public goods game with dependency groups
url http://dx.doi.org/10.1155/2019/8670802
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AT xinsu evolutionarycooperationinnetworkedpublicgoodsgamewithdependencygroups
AT jinmingma evolutionarycooperationinnetworkedpublicgoodsgamewithdependencygroups
AT huitian evolutionarycooperationinnetworkedpublicgoodsgamewithdependencygroups
AT runranliu evolutionarycooperationinnetworkedpublicgoodsgamewithdependencygroups