An evolutionary game approach for determination of the structural conflicts in signed networks

doi:10.1038/srep22022

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	An evolutionary game approach for determination of the structural conflicts in signed networks
	Tan, Shaolin 1; Lu, Jinhu2
	2016-02-26
发表期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
卷号	6 页码:9
摘要	Social or biochemical networks can often divide into two opposite alliances in response to structural conflicts between positive (friendly, activating) and negative (hostile, inhibiting) interactions. Yet, the underlying dynamics on how the opposite alliances are spontaneously formed to minimize the structural conflicts is still unclear. Here, we demonstrate that evolutionary game dynamics provides a felicitous possible tool to characterize the evolution and formation of alliances in signed networks. Indeed, an evolutionary game dynamics on signed networks is proposed such that each node can adaptively adjust its choice of alliances to maximize its own fitness, which yet leads to a minimization of the structural conflicts in the entire network. Numerical experiments show that the evolutionary game approach is universally efficient in quality and speed to find optimal solutions for all undirected or directed, unweighted or weighted signed networks. Moreover, the evolutionary game approach is inherently distributed. These characteristics thus suggest the evolutionary game dynamic approach as a feasible and effective tool for determining the structural conflicts in large-scale on-line signed networks.
DOI	10.1038/srep22022
语种	英语
资助项目	China Postdoctoral Science Foundation ; China Scholarship Council ; National Natural Science Foundation of China[61503130] ; National Natural Science Foundation of China[11072254] ; National Natural Science Foundation of China[61203148]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000370922300002
出版者	NATURE PUBLISHING GROUP
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/22162
专题	系统科学研究所
通讯作者	Tan, Shaolin; Lu, Jinhu
作者单位	1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Tan, Shaolin,Lu, Jinhu. An evolutionary game approach for determination of the structural conflicts in signed networks[J]. SCIENTIFIC REPORTS,2016,6:9.
APA	Tan, Shaolin,&Lu, Jinhu.(2016).An evolutionary game approach for determination of the structural conflicts in signed networks.SCIENTIFIC REPORTS,6,9.
MLA	Tan, Shaolin,et al."An evolutionary game approach for determination of the structural conflicts in signed networks".SCIENTIFIC REPORTS 6(2016):9.