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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7516628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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