Abstract：Cooperative behavior is widespread, and how to promote the emergence of cooperative behavior has been a hot issue of systems science. Combining the traditional complex network model with the game theory model, this paper proposes a grouping selection rule for individual interaction and investigates the joint influence of the parameter dividing the groups, the individual's memory length, and the network clustering coefficient on cooperative behavior. Through simulation experiments, it is found that the grouping selection can effectively promote not only the emergence of cooperative behaviors in adjustable clustering networks, but also the individuals' cooperation in lattice and small-world networks, indicating that the rule has certain universality and repeatability. It provides a new approach to improve the overall level of cooperation in large-scale groups, enabling us to gain a deeper understanding of real-world cooperation phenomena and opening up a new avenue for exploring the reasons behind individuals' cooperative behavior.
邓云生, 张纪会. 基于分组选择的可调聚类网络中个体的合作行为研究[J]. 复杂系统与复杂性科学, 2022, 19(2): 39-44.
DENG Yunsheng, ZHANG Jihui. On the Cooperative Behavior of Individuals in Adjustable Clustering Networks Based on Grouping Selection. Complex Systems and Complexity Science, 2022, 19(2): 39-44.
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