Simulation of Cooperative Evolution of Growing Network Based on Dynamic Payoff Matrices

Authors

Xin Qi, 1. College of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China; ;
Zhou Xiao, 2. College of Business Administration, Fujian Jiangxia University, Fuzhou 350108, China;

Abstract

Abstract: A cooperative evolution model of growing network based on dynamic payoff matrices was built. The model involved network structure evolution caused by the increasing number of individuals and the links between them, and individual strategy evolution according to the changing payoff matrices. In this model, feedback mechanism was used to make payoff matrices vary with the network environment. And considering some parameters such as feedback intensity, the initial value of the temptation for defecting, average node degree, the effect of feedback mechanism on cooperative evolution of growing network was analyzed. Numerical simulation results show that the network grown up according to the model has the characteristic of power-law distribution; Feedback mechanism can effectively raise the rate of cooperation on network; and the lager the feedback intensity, the initial value of the temptation of defect and the average node degree is, the more effective feedback mechanism is.

Recommended Citation

Qi, Xin and Xiao, Zhou (2020) "Simulation of Cooperative Evolution of Growing Network Based on Dynamic Payoff Matrices," Journal of System Simulation: Vol. 29: Iss. 2, Article 11.
DOI: 10.16182/j.issn1004731x.joss.201702011
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/11

First Page

319

Revised Date

2016-04-13

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702011

Last Page

325

CLC

O225;TP391.9

Recommended Citation

Xin Qi, Zhou Xiao. Simulation of Cooperative Evolution of Growing Network Based on Dynamic Payoff Matrices[J]. Journal of System Simulation, 2017, 29(2): 319-325.

DOI

10.16182/j.issn1004731x.joss.201702011