Abstract
Complex networks are ubiquitous in real-world systems. In the last decade, the investigation of complex networks has received much attention. Most of this research suggests that the topological properties of networks have an important influence on the evolution of cooperation. In this paper, we used the prisoner’s dilemma game and snowdrift game as models to study the problem of cooperation evolution on heterogeneous random networks. We found that the heterogeneity of the networks plays a more important role in promoting cooperation than the average clustering coefficient and average path length of the networks do. The higher the heterogeneity of the networks is, the more conducive the emergence and spread of cooperation is. In addition, we found that increasing the average degree of networks would be detrimental for cooperation to thrive.
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Acknowledgments
This work was partly supported by the National Natural Science Foundation of China under Grant No. 4187 4113, the National Natural Science Foundation of China under Grant No. 11604243, the Natural Science Foundation of Tianjin, Project No. 16JCQNJC01600, and the Scientific Research Project of Tianjin Municipal Education Commission under Grant No. 2017KJ239.
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Li, R., Xu, Z. & Zhang, L. Heterogeneity of Networks Promotes Cooperation in the Prisoner’s Dilemma and the Snowdrift Game. J. Korean Phys. Soc. 74, 831–837 (2019). https://doi.org/10.3938/jkps.74.831
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DOI: https://doi.org/10.3938/jkps.74.831