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Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling
Along with the rapid development of network-based information technology, such as cloud computing, big data, the IoT, and so on, human society has stepped into a new era of complex networks. People’s life and production activities depend more and more on various complex networks to ensure security a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6671968/ https://www.ncbi.nlm.nih.gov/pubmed/31371732 http://dx.doi.org/10.1038/s41598-019-47013-x |
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author | Liu, Sicheng Zhang, Lin Wang, Baokui |
author_facet | Liu, Sicheng Zhang, Lin Wang, Baokui |
author_sort | Liu, Sicheng |
collection | PubMed |
description | Along with the rapid development of network-based information technology, such as cloud computing, big data, the IoT, and so on, human society has stepped into a new era of complex networks. People’s life and production activities depend more and more on various complex networks to ensure security and reliability. The complex interrelationships between human and nature establish a link to explain the cooperation of individual behaviour, especially for individual diversity. However, existing researches mostly ignore the influence of individual diversity on networks involved in individual behaviour to strategy selection. Therefore, it needs further research on how to consider both individual diversity and independent networks in the evolution of cooperative behaviour. To address this issue, we extend a simple game model into the interdependent networks through the mixed coupling (i.e., utility and probability) in this work. Also, we divide the kinds of strategic behaviour of a player in one layer concerning individual diversity. Moreover, there exists an optimal region of mixed coupling between networks such that cooperation can be promoted. Finally, experimental results can open the path to understanding the emergence and maintenance of cooperation within various interconnected and interrelated real-world systems newly. |
format | Online Article Text |
id | pubmed-6671968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66719682019-08-07 Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling Liu, Sicheng Zhang, Lin Wang, Baokui Sci Rep Article Along with the rapid development of network-based information technology, such as cloud computing, big data, the IoT, and so on, human society has stepped into a new era of complex networks. People’s life and production activities depend more and more on various complex networks to ensure security and reliability. The complex interrelationships between human and nature establish a link to explain the cooperation of individual behaviour, especially for individual diversity. However, existing researches mostly ignore the influence of individual diversity on networks involved in individual behaviour to strategy selection. Therefore, it needs further research on how to consider both individual diversity and independent networks in the evolution of cooperative behaviour. To address this issue, we extend a simple game model into the interdependent networks through the mixed coupling (i.e., utility and probability) in this work. Also, we divide the kinds of strategic behaviour of a player in one layer concerning individual diversity. Moreover, there exists an optimal region of mixed coupling between networks such that cooperation can be promoted. Finally, experimental results can open the path to understanding the emergence and maintenance of cooperation within various interconnected and interrelated real-world systems newly. Nature Publishing Group UK 2019-08-01 /pmc/articles/PMC6671968/ /pubmed/31371732 http://dx.doi.org/10.1038/s41598-019-47013-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Sicheng Zhang, Lin Wang, Baokui Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
title | Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
title_full | Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
title_fullStr | Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
title_full_unstemmed | Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
title_short | Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
title_sort | individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6671968/ https://www.ncbi.nlm.nih.gov/pubmed/31371732 http://dx.doi.org/10.1038/s41598-019-47013-x |
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