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Power-law distributed temporal heterogeneity of human activities promotes cooperation on complex networks

机译:人类活动的幂律分布时间异质性促进了复杂网络上的合作

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An evolutionary prisoner's dilemma game (PDG) with players located on Barabasi-Albert scale-free networks is studied. The impact of players' heterogeneous temporal activity pattern on the evolution of cooperation is investigated. To this end, the normal procedure that players update their strategies immediately after a round of game is discarded. Instead, players update strategies according to their assigned reproduction time, which follows a power-law distribution. We find that the temporal heterogeneity of players' activities facilitates the prosperity of cooperation, indicating the important role of hubs in the maintenance of cooperation on scale-free networks. When the reproduction time is assigned to individuals negatively related to their degrees, a fluctuation of the cooperation level with the increase of the exponent beta is observed. (C) 2016 Elsevier B.V. All rights reserved.
机译:研究了位于Barabasi-Albert无标度网络上的玩家的进化囚徒困境游戏(PDG)。研究了参与者异质性时间活动模式对合作演变的影响。为此,放弃了在一轮游戏后立即更新其策略的常规程序。取而代之的是,玩家根据分配的再现时间更新策略,该时间遵循幂律分布。我们发现,参与者活动的时间异质性促进了合作的繁荣,这表明了枢纽在维持无规模网络上的合作中的重要作用。当将繁殖时间分配给与其程度负相关的个体时,观察到合作水平随指数β的增加而波动。 (C)2016 Elsevier B.V.保留所有权利。

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