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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.