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Co-Evolution of Complex Network Public Goods Game under the Edges Rules

The reconnection of broken edges is an effective way to avoid drawback for the commons in past studies. Inspired by this, we proposed a public goods game model under the edges rules, where we evaluate the weight of edges by their nodes’ payoff. The results proved that the game obtains a larger range...

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Detalles Bibliográficos
Autores principales: Sun, Xingping, Li, Yibing, Kang, Hongwei, Shen, Yong, Peng, Jian, Wang, Haoyu, Chen, Qingyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516628/
https://www.ncbi.nlm.nih.gov/pubmed/33285973
http://dx.doi.org/10.3390/e22020199
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author Sun, Xingping
Li, Yibing
Kang, Hongwei
Shen, Yong
Peng, Jian
Wang, Haoyu
Chen, Qingyi
author_facet Sun, Xingping
Li, Yibing
Kang, Hongwei
Shen, Yong
Peng, Jian
Wang, Haoyu
Chen, Qingyi
author_sort Sun, Xingping
collection PubMed
description The reconnection of broken edges is an effective way to avoid drawback for the commons in past studies. Inspired by this, we proposed a public goods game model under the edges rules, where we evaluate the weight of edges by their nodes’ payoff. The results proved that the game obtains a larger range of cooperation with a small gain factor by this proposed model by consulting Monte Carlo simulations (MCS) and real experiments. Furthermore, as the following the course of game and discussing the reason of cooperation, in the research, we found that the distribution entropy of the excess average degree is able to embody and predict the presence of cooperation.
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spelling pubmed-75166282020-11-09 Co-Evolution of Complex Network Public Goods Game under the Edges Rules Sun, Xingping Li, Yibing Kang, Hongwei Shen, Yong Peng, Jian Wang, Haoyu Chen, Qingyi Entropy (Basel) Article The reconnection of broken edges is an effective way to avoid drawback for the commons in past studies. Inspired by this, we proposed a public goods game model under the edges rules, where we evaluate the weight of edges by their nodes’ payoff. The results proved that the game obtains a larger range of cooperation with a small gain factor by this proposed model by consulting Monte Carlo simulations (MCS) and real experiments. Furthermore, as the following the course of game and discussing the reason of cooperation, in the research, we found that the distribution entropy of the excess average degree is able to embody and predict the presence of cooperation. MDPI 2020-02-08 /pmc/articles/PMC7516628/ /pubmed/33285973 http://dx.doi.org/10.3390/e22020199 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Xingping
Li, Yibing
Kang, Hongwei
Shen, Yong
Peng, Jian
Wang, Haoyu
Chen, Qingyi
Co-Evolution of Complex Network Public Goods Game under the Edges Rules
title Co-Evolution of Complex Network Public Goods Game under the Edges Rules
title_full Co-Evolution of Complex Network Public Goods Game under the Edges Rules
title_fullStr Co-Evolution of Complex Network Public Goods Game under the Edges Rules
title_full_unstemmed Co-Evolution of Complex Network Public Goods Game under the Edges Rules
title_short Co-Evolution of Complex Network Public Goods Game under the Edges Rules
title_sort co-evolution of complex network public goods game under the edges rules
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516628/
https://www.ncbi.nlm.nih.gov/pubmed/33285973
http://dx.doi.org/10.3390/e22020199
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