An evolutionary game approach for determination of the structural conflicts in signed networks | |
Tan, Shaolin1; Lu, Jinhu2 | |
刊名 | SCIENTIFIC REPORTS |
2016-02-26 | |
卷号 | 6页码:9 |
ISSN号 | 2045-2322 |
DOI | 10.1038/srep22022 |
英文摘要 | 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. |
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 |
语种 | 英语 |
出版者 | NATURE PUBLISHING GROUP |
WOS记录号 | WOS:000370922300002 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/22161] |
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. |
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