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

Wen Bo Du; Hao Ran Zheng; Mao Bin Hu

doi:10.1016/j.physa.2008.02.036

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

Wen Bo Du
, Hao Ran Zheng^*
, Mao Bin Hu

^*此作品的通讯作者

University of Science and Technology of China

科研成果: 期刊稿件 › 文章 › 同行评审

42 引用（Scopus）

摘要

This paper investigates the evolutionary prisoner's dilemma on weighted scale-free networks. The weighted networks are generated by adopting Barabási-Albert scale-free network and assigning link weight with w_{i j} = (k_i × k_j)^β. Simulation results show that the cooperation frequency has a strong dependence on β. The value of β 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 β ≈ - 1.

源语言	英语
页（从-至）	3796-3800
页数	5
期刊	Physica A: Statistical Mechanics and its Applications
卷	387
期	14
DOI	https://doi.org/10.1016/j.physa.2008.02.036
出版状态	已出版 - 1 6月 2008
已对外发布	是

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title = "Evolutionary prisoner's dilemma game on weighted scale-free networks",

abstract = "This paper investigates the evolutionary prisoner's dilemma on weighted scale-free networks. The weighted networks are generated by adopting Barab{\'a}si-Albert scale-free network and assigning link weight with wi j = (ki × kj)β. Simulation results show that the cooperation frequency has a strong dependence on β. The value of β 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 β ≈ - 1.",

keywords = "Complex networks, Evolutionary game, Prisoner's dilemma, Weighted scale-free networks",

author = "Du, \{Wen Bo\} and Zheng, \{Hao Ran\} and Hu, \{Mao Bin\}",

year = "2008",

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doi = "10.1016/j.physa.2008.02.036",

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T1 - Evolutionary prisoner's dilemma game on weighted scale-free networks

AU - Du, Wen Bo

AU - Zheng, Hao Ran

AU - Hu, Mao Bin

PY - 2008/6/1

Y1 - 2008/6/1

N2 - This paper investigates the evolutionary prisoner's dilemma on weighted scale-free networks. The weighted networks are generated by adopting Barabási-Albert scale-free network and assigning link weight with wi j = (ki × kj)β. Simulation results show that the cooperation frequency has a strong dependence on β. The value of β 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 β ≈ - 1.

AB - This paper investigates the evolutionary prisoner's dilemma on weighted scale-free networks. The weighted networks are generated by adopting Barabási-Albert scale-free network and assigning link weight with wi j = (ki × kj)β. Simulation results show that the cooperation frequency has a strong dependence on β. The value of β 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 β ≈ - 1.

KW - Complex networks

KW - Evolutionary game

KW - Prisoner's dilemma

KW - Weighted scale-free networks

UR - https://www.scopus.com/pages/publications/41649121448

U2 - 10.1016/j.physa.2008.02.036

DO - 10.1016/j.physa.2008.02.036

M3 - 文章

AN - SCOPUS:41649121448

SN - 0378-4371

VL - 387

SP - 3796

EP - 3800

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

IS - 14

ER -

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

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