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Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network
In this work, we study an evolutionary prisoner’s dilemma game (PDG) on Barabási–Albert scale-free networks with limited player interactions, and explore the effect of interaction style and degree on cooperation. The results show that high-degree preference interaction, namely the most applicable in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5555699/ https://www.ncbi.nlm.nih.gov/pubmed/28806757 http://dx.doi.org/10.1371/journal.pone.0182523 |
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author | Xie, Fengjie Shi, Jing Lin, Jun |
author_facet | Xie, Fengjie Shi, Jing Lin, Jun |
author_sort | Xie, Fengjie |
collection | PubMed |
description | In this work, we study an evolutionary prisoner’s dilemma game (PDG) on Barabási–Albert scale-free networks with limited player interactions, and explore the effect of interaction style and degree on cooperation. The results show that high-degree preference interaction, namely the most applicable interaction in the real world, is less beneficial for emergence of cooperation on scale-free networks than random interaction. Besides, cooperation on scale-free networks is enhanced with the increase of interaction degree regardless whether the interaction is high-degree preference or random. If the interaction degree is very low, the cooperation level on scale-free networks is much lower than that on regular ring networks, which is against the common belief that scale-free networks must be more beneficial for cooperation. Our analysis indicates that the interaction relations, the strategy and the game payoff of high-connectivity players play important roles in the evolution of cooperation on scale-free networks. A certain number of interactions are necessary for scale-free networks to exhibit strong capability of facilitating cooperation. Our work provides important insight for members on how to interact with others in a social organization. |
format | Online Article Text |
id | pubmed-5555699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55556992017-08-28 Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network Xie, Fengjie Shi, Jing Lin, Jun PLoS One Research Article In this work, we study an evolutionary prisoner’s dilemma game (PDG) on Barabási–Albert scale-free networks with limited player interactions, and explore the effect of interaction style and degree on cooperation. The results show that high-degree preference interaction, namely the most applicable interaction in the real world, is less beneficial for emergence of cooperation on scale-free networks than random interaction. Besides, cooperation on scale-free networks is enhanced with the increase of interaction degree regardless whether the interaction is high-degree preference or random. If the interaction degree is very low, the cooperation level on scale-free networks is much lower than that on regular ring networks, which is against the common belief that scale-free networks must be more beneficial for cooperation. Our analysis indicates that the interaction relations, the strategy and the game payoff of high-connectivity players play important roles in the evolution of cooperation on scale-free networks. A certain number of interactions are necessary for scale-free networks to exhibit strong capability of facilitating cooperation. Our work provides important insight for members on how to interact with others in a social organization. Public Library of Science 2017-08-14 /pmc/articles/PMC5555699/ /pubmed/28806757 http://dx.doi.org/10.1371/journal.pone.0182523 Text en © 2017 Xie et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Xie, Fengjie Shi, Jing Lin, Jun Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network |
title | Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network |
title_full | Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network |
title_fullStr | Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network |
title_full_unstemmed | Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network |
title_short | Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network |
title_sort | impact of interaction style and degree on the evolution of cooperation on barabási–albert scale-free network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5555699/ https://www.ncbi.nlm.nih.gov/pubmed/28806757 http://dx.doi.org/10.1371/journal.pone.0182523 |
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