Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks

Abstract In realistic social system, the role or influence of each individual varies and adaptively changes in time in the population. Inspired by this fact, we thus consider a new coevolution setup of game strategy and vertex weight on a square lattice. In detail, we model the structured population...

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Autores principales:	Chen Shen, Chen Chu, Hao Guo, Lei Shi, Jiangyan Duan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8e8261c323414952b8240bf5e42f241f
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id	oai:doaj.org-article:8e8261c323414952b8240bf5e42f241f
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spelling	oai:doaj.org-article:8e8261c323414952b8240bf5e42f241f2021-12-02T11:52:29ZCoevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks10.1038/s41598-017-15603-22045-2322https://doaj.org/article/8e8261c323414952b8240bf5e42f241f2017-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-15603-2https://doaj.org/toc/2045-2322Abstract In realistic social system, the role or influence of each individual varies and adaptively changes in time in the population. Inspired by this fact, we thus consider a new coevolution setup of game strategy and vertex weight on a square lattice. In detail, we model the structured population on a square lattice, on which the role or influence of each individual is depicted by vertex weight, and the prisoner’s dilemma game has been applied to describe the social dilemma of pairwise interactions of players. Through numerical simulation, we conclude that our coevolution setup can promote the evolution of cooperation effectively. Especially, there exists a moderate value of δ for each ε that can warrant an optimal resolution of social dilemma. For a further understanding of these results, we find that intermediate value of δ enables the strongest heterogeneous distribution of vertex weight. We hope our coevolution setup of vertex weight will provide new insight for the future research.Chen ShenChen ChuHao GuoLei ShiJiangyan DuanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chen Shen Chen Chu Hao Guo Lei Shi Jiangyan Duan Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks
description	Abstract In realistic social system, the role or influence of each individual varies and adaptively changes in time in the population. Inspired by this fact, we thus consider a new coevolution setup of game strategy and vertex weight on a square lattice. In detail, we model the structured population on a square lattice, on which the role or influence of each individual is depicted by vertex weight, and the prisoner’s dilemma game has been applied to describe the social dilemma of pairwise interactions of players. Through numerical simulation, we conclude that our coevolution setup can promote the evolution of cooperation effectively. Especially, there exists a moderate value of δ for each ε that can warrant an optimal resolution of social dilemma. For a further understanding of these results, we find that intermediate value of δ enables the strongest heterogeneous distribution of vertex weight. We hope our coevolution setup of vertex weight will provide new insight for the future research.
format	article
author	Chen Shen Chen Chu Hao Guo Lei Shi Jiangyan Duan
author_facet	Chen Shen Chen Chu Hao Guo Lei Shi Jiangyan Duan
author_sort	Chen Shen
title	Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks
title_short	Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks
title_full	Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks
title_fullStr	Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks
title_full_unstemmed	Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks
title_sort	coevolution of vertex weights resolves social dilemma in spatial networks
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/8e8261c323414952b8240bf5e42f241f
work_keys_str_mv	AT chenshen coevolutionofvertexweightsresolvessocialdilemmainspatialnetworks AT chenchu coevolutionofvertexweightsresolvessocialdilemmainspatialnetworks AT haoguo coevolutionofvertexweightsresolvessocialdilemmainspatialnetworks AT leishi coevolutionofvertexweightsresolvessocialdilemmainspatialnetworks AT jiangyanduan coevolutionofvertexweightsresolvessocialdilemmainspatialnetworks
_version_	1718395058008358912

Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks

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