Evolutionary Games on Weighted Newman-Watts Small-World Networks

DU Wen-Bo; CAO Xian-Bin; ZHAO Lin; ZHOU Hong

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Evolutionary Games on Weighted Newman-Watts Small-World Networks

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We investigate the evolutionary prisoner's dilemma game (PDG) on weighted Newman-Watts (NW) networks. In weighted NW networks, the link weight wij is assigned to the link between the nodes i and j as: wij = (ki · kj)β,where ki(kj) is the degree of node i(j) and β represents the strength of the correlations. Obviously, the link weight can be tuned by only one parameter β. We focus on the cooperative behavior and wealth distribution in the system. Simulation results show that the cooperator frequency is promoted by a large range of β and there is a minimal cooperation frequency around β = - 1. Moreover, we also employ the Gini coefficient to study the wealth distribution in the population. Numerical results show that the Gini coefficient reaches its minimum when β≈ -1. Our work may be helpful in understanding the emergence of cooperation and unequal wealth distribution in society.

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《中国物理快报：英文版》 |2009年第5期|255-258|共4页
作者
DU Wen-Bo; CAO Xian-Bin; ZHAO Lin; ZHOU Hong;
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Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026;

Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026;

Anhui Province Key Laboratory of Software in Computing and Communication, University of Science and Technology of China, Hefei 230026;

School of Life Sciences, University of Science and Technology of China, Hefei 230026;

Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026;

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正文语种 chi
中图分类物理学;
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Evolutionary Games on Weighted Newman-Watts Small-World Networks

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