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文章基本信息

  • 标题:Identification of complex network topologies through delayed mutual information
  • 本地全文:下载
  • 作者:Pierre-Alain Toupance ; Bastien Chopard ; Laurent Lefevre
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:1019-1024
  • DOI:10.1016/j.ifacol.2020.12.1282
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe definitions of delayed mutual information and multi-information are recalled. It is shown how the delayed mutual information may be used to reconstruct the interaction topology resulting from some unknown scale-free graph with its associated local dynamics. Delayed mutual information is also used to solve the community detection problem. A probabilistic voter model defined on a scale-free graph is used throughout the paper as an illustrative example.
  • 关键词:Keywordscomplex systemsinformation theoryprobabilistic modelsinteraction topologyadjacency matrix identificationcommunity reconstructionvoter model
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