Evolutionary game on mutually influenceing double-layer network.
In recent years, coupled double-layer networks have played an increasingly critical role in evolutionary game theory. Research indicates that these networks more accurately reflect real-world relationships between individuals. However, current studies mainly focus on unidirectional influence within...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317923 |
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| _version_ | 1825206770074648576 |
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| author | Qinzhi Hao Haochun Yang Yao Sun Tao Xu Huang Huang |
| author_facet | Qinzhi Hao Haochun Yang Yao Sun Tao Xu Huang Huang |
| author_sort | Qinzhi Hao |
| collection | DOAJ |
| description | In recent years, coupled double-layer networks have played an increasingly critical role in evolutionary game theory. Research indicates that these networks more accurately reflect real-world relationships between individuals. However, current studies mainly focus on unidirectional influence within double-layer networks. Based on this, we propose a strongly coupled double-layer network cooperation evolution model. Strength individuals are located in the upper network layer, influencing the strategy choices of ordinary individuals in the lower layer, and vice versa. Monte Carlo simulations show that strength individuals can effectively enhance overall group cooperation. Under low temptation to defect, the group maintains a high cooperation rate; under high temptation, the presence of strength individuals prevents the group from falling into total defection, helping ordinary individuals escape the defection dilemma and improve cooperation levels. |
| format | Article |
| id | doaj-art-17063a5782be48b1b4f7eb54be935f95 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-17063a5782be48b1b4f7eb54be935f952025-02-07T05:30:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031792310.1371/journal.pone.0317923Evolutionary game on mutually influenceing double-layer network.Qinzhi HaoHaochun YangYao SunTao XuHuang HuangIn recent years, coupled double-layer networks have played an increasingly critical role in evolutionary game theory. Research indicates that these networks more accurately reflect real-world relationships between individuals. However, current studies mainly focus on unidirectional influence within double-layer networks. Based on this, we propose a strongly coupled double-layer network cooperation evolution model. Strength individuals are located in the upper network layer, influencing the strategy choices of ordinary individuals in the lower layer, and vice versa. Monte Carlo simulations show that strength individuals can effectively enhance overall group cooperation. Under low temptation to defect, the group maintains a high cooperation rate; under high temptation, the presence of strength individuals prevents the group from falling into total defection, helping ordinary individuals escape the defection dilemma and improve cooperation levels.https://doi.org/10.1371/journal.pone.0317923 |
| spellingShingle | Qinzhi Hao Haochun Yang Yao Sun Tao Xu Huang Huang Evolutionary game on mutually influenceing double-layer network. PLoS ONE |
| title | Evolutionary game on mutually influenceing double-layer network. |
| title_full | Evolutionary game on mutually influenceing double-layer network. |
| title_fullStr | Evolutionary game on mutually influenceing double-layer network. |
| title_full_unstemmed | Evolutionary game on mutually influenceing double-layer network. |
| title_short | Evolutionary game on mutually influenceing double-layer network. |
| title_sort | evolutionary game on mutually influenceing double layer network |
| url | https://doi.org/10.1371/journal.pone.0317923 |
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