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Multilayer coupled network promotes group consensus

文献类型：期刊论文

作者Li, Zhenpeng2; Tang, Xijin1
刊名EUROPEAN PHYSICAL JOURNAL PLUS
出版日期2020-02-03
卷号135期号:2页码:15
ISSN号2190-5444
DOI10.1140/epjp/s13360-019-00039-6
英文摘要Recently, multilayer networks are widely accepted to model many real-world complex systems. The study of multilayer networks has also revealed new physical phenomena that remain hidden when using the traditional single-layer network representation. Here, we investigate the group consensus on coupled multilayer network. Simulations show that coupled multilayer network greatly promotes the group consensus, and the results perfectly agree with the decomposition of the supra-Laplacian and Rayleigh quotient theoretic analysis. In addition, we find that the greater the coupling strength, the shorter the time required to reach consensus. The findings provided in this paper deepen our understanding of how the multilayer nature of the network affects opinion dynamics and formation of consensus, and we may find potential applications on control of public opinion, such as multi-path dynamic coupled propagation of the same hot topic on different interactive social media platforms.
资助项目National Natural Science Foundation of China[71661001] ; National Natural Science Foundation of China[61473284] ; National Natural Science Foundation of China[71731002]
WOS研究方向Physics
语种英语
WOS记录号WOS:000521273500004
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50989]  
专题中国科学院数学与系统科学研究院
通讯作者Li, Zhenpeng
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Dali Univ, Dali 671003, Peoples R China
推荐引用方式
GB/T 7714		 Li, Zhenpeng,Tang, Xijin. Multilayer coupled network promotes group consensus[J]. EUROPEAN PHYSICAL JOURNAL PLUS,2020,135(2):15.
APA Li, Zhenpeng,&Tang, Xijin.(2020).Multilayer coupled network promotes group consensus.EUROPEAN PHYSICAL JOURNAL PLUS,135(2),15.
MLA Li, Zhenpeng,et al."Multilayer coupled network promotes group consensus".EUROPEAN PHYSICAL JOURNAL PLUS 135.2(2020):15.

入库方式： OAI收割

来源：数学与系统科学研究院

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