期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 608, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.physa.2022.128220
关键词
Community structure; Public goods game; Cooperation; Multiple strategy -updating rules
资金
- National Natural Science Foundation of China
- Shaanxi Provincial Soft Science Research Program, China
- Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University
- [71871182]
- [2020KRZ019]
- [CX2021095]
This research investigates the evolution of cooperation and the influence of multiple strategy-updating rules in scale-free community networks. The study finds that community structure facilitates cooperation with public goods games and the enhancement factor determines the relationship between strategy-updating rules and cooperation density.
Most social dilemmas have public goods properties, and social networks have scalefree characteristics and community structure features. Meanwhile, due to individuals' diverse preferences, there are individuals in the network who use different strategyupdating rules. Based on this, this research explores how cooperation evolves in scale-free community networks with public goods games, as well as the influence of multiple strategy-updating rules on cooperation evolution. Pairwise comparison rules and aspiration-driven rules are the two types of strategy-updating rules discussed here. Several simulations are displayed, along with the results of their simulations. We discover that community structure facilitates the emergence of cooperation with public goods games. Meanwhile, the enhancement factor's value determines the relationship between the proportion of the two updating rules and the cooperation density. There is a negative relationship between the initial ratio of pairwise comparison rules and the cooperation density under a weak enhancement factor. And the initial ratio of pairwise comparison rules and the cooperation density forms a U-shaped relationship under a strong enhancement factor. Pairwise comparison rules seem to be more sensitive to the variance in the proportion of the two strategy-updating rules. Our findings might help us better understand the evolution of cooperation in social networks. (c) 2022 Elsevier B.V. All rights reserved.
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