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Prisoner's Dilemma Game on Clustered Scale-Free Networks under Different Initial Distributions
Authors:LEI Chuang JIA Jian-Yuan  CHEN Xiao-Jie  CONG Rui  WANG Long
Affiliation:School of Mechano-electronic Engineering, Xidian University, Xi'an 710071State Key Laboratory for Turbulence and Complex Systems, Center for Systems and Control, College of Engineering, Peking University, Beijing 100871
Abstract:The evolutionary prisoner's dilemma game is investigated under different initial distributions for cooperators and defectors on scale-free networks with a tunable clustering coefficient. It is found that, on the one hand, cooperation can be enhanced with the increasing clustering coefficient when only the most connected nodes are occupied by cooperators initially. On the other hand, if cooperators just occupy the lowest-degree nodes at the beginning, then the higher the value of the clustering coefficient, the more unfavorable the environment for cooperators to survive for the increment of temptation to defect. Thereafter, we analytically argue these nontrivial phenomena by calculating the cooperation probability of the nodes with different degrees in the steady state, and obtain the critical values of initial frequency of cooperators below which cooperators would vanish finally for the two initial distributions.
Keywords:02  50  Le  87  23  Ge  89  75  Hc  89  75  Fb
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