The Emergence and Evolution of Cooperation on Complex Networks

The Emergence and Evolution of Cooperation on Complex Networks
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DOI:
10.1142/s0218127412502288
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发表时间:
2012-10
期刊:
Int. J. Bifurc. Chaos
影响因子:
--
通讯作者:
Han-Xin Yang;Wenxu Wang;Y. Lai;C. Grebogi
Han-Xin Yang;Wenxu Wang;Y. Lai;C. Grebogi
中科院分区:
其他
文献类型:
--
作者:
Han-Xin Yang;Wenxu Wang;Y. Lai;C. Grebogi

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在复杂的自然、社会和经济系统中合作的出现和演变是一个最近引起人们兴趣的跨学科课题。利用演化博弈的方法研究了复杂网络中的合作问题。特别是,多样性优化合作的现象进行了简要回顾和网络集群合作的效果进行了详细的处理。对于后者,一般类型的公共产品游戏的结果是,固定的平均度和度分布在底层网络中,一个高的聚类系数可以促进合作。研究了无标度网络中合作者和背叛者簇、合作者和背叛者沿着各自边界的平均支付、不同类合作者的比例以及枢纽节点的平均支付等基本量。由于强集群是典型的在许多社交网络,这些结果提供了深入了解合作的出现,在这样的网络。
The emergence and evolution of cooperation in complex natural, social and economical systems is an interdisciplinary topic of recent interest. This paper focuses on the cooperation on complex networks using the approach of evolutionary games. In particular, the phenomenon of diversity-optimized cooperation is briefly reviewed and the effect of network clustering on cooperation is treated in detail. For the latter, a general type of public goods games is used with the result that, for fixed average degree and degree distributions in the underlying network, a high clustering coefficient can promote cooperation. Basic quantities such as the cooperator and defector clusters, mean payoffs of cooperators and defectors along their respective boundaries, the fraction of cooperators for different classes as well as the mean payoffs of hubs in scale-free networks are also investigated. Since strong clustering is typical in many social networks, these results provide insights into the emergence of cooperation in such networks.