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Updated: Jul 11, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Roles of mixing patterns in cooperation on a scale-free networked game
Zhihai Rong1, Xiang Li, Xiaofan Wang
1Complex Networks and Control Lab, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China.
Abstract:
We investigate how the degree-mixing pattern affects the emergence of cooperation in the networked prisoner's dilemma game. Our study shows that when a network becomes assortative mixing by degree, the large-degree vertices (hubs) tend to interconnect to each other closely, which destroys the sustainability among cooperators and promotes the invasion of defectors, whereas in disassortative networks, the isolation among hubs protects the cooperative hubs in holding onto their initial strategies to avoid extinction.
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