Evolutionary prisoner's dilemma game on weighted scale-free networks

被引：44

作者：

Du, Wen-Bo ^{[1
]}

Zheng, Hao-Ran ^{[1
,2
]}

Hu, Mao-Bin ^{[3
]}

机构：

[1] Univ Sci & Technol China, Dept Comp Sci & Technol, Hefei 230026, Peoples R China

[2] Univ Sci & Technol China, Dept Syst Biol, Hefei 230026, Peoples R China

[3] Univ Sci & Technol China, Sch Engn Sci, Hefei 230026, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2008年 / 387卷 / 14期

基金：

中国博士后科学基金;

关键词：

evolutionary game; prisoner's dilemma; complex networks; weighted scale-free networks;

D O I：

10.1016/j.physa.2008.02.036

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper investigates the evolutionary prisoner's dilemma on weighted scale-free networks. The weighted networks are generated by adopting Barabasi-Albert scale-free network and assigning link weight with w(ij) = (k(i) x k(j))(beta). Simulation results show that the cooperation frequency has a strong dependence on beta. The value of,8 which is associated with the maximal cooperation frequency has been sought out. Moreover, Gini coefficient and Pareto exponent of the system's wealth distribution are investigated. The inequality of wealth distribution is minimized at beta approximate to -1. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：3796 / 3800

页数：5

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