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An evolutionary game approach for determination of the structural conflicts in signed networks
Tan, Shaolin1; Lu, Jinhu2
2016-02-26
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
Volume6Pages:9
AbstractSocial 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.
DOI10.1038/srep22022
Language英语
Funding ProjectChina 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 Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000370922300002
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/22162
Collection系统科学研究所
Affiliation1.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
Recommended Citation
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.
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