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  • 标题:Spreading Dynamics of a Social Information Model with Overlapping Community Structures on Complex Networks
  • 本地全文:下载
  • 作者:Xiongding Liu ; Tao Li ; Yuanmei Wang
  • 期刊名称:Open Access Library Journal
  • 印刷版ISSN:2333-9705
  • 电子版ISSN:2333-9721
  • 出版年度:2016
  • 卷号:3
  • 期号:5
  • 页码:1-11
  • DOI:10.4236/oalib.1102701
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:In this paper, we present a SARS (susceptible-adopted-removed-susceptible) social information spreading model with overlapping community structures on complex networks. Using the mean field theory, the spreading dynamic of the model has been studied. At first, we derived the spreading critical threshold value and equilibriums. Theoretical results indicate that the existence of equilibriums is determined by threshold value. The threshold value is obviously dependent on the topology of underlying networks. Furthermore, the globally asymptotically stable equilibriums are proved in detail. The overlap parameter of community structures can't change the threshold value, but it can influence the extent of the social information spreading. Numerical simulations confirmed the analytical results.
  • 关键词:Social Information SpreadingOverlap ParameterCommunity StructuresComplex NetworksThreshold Value
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