• DocumentCode
    2240449
  • Title

    Modeling and analysis of epidemic dynamics on an adaptive network

  • Author

    Peilian, Guo ; Yuzhen, Wang ; Haitao, Li

  • Author_Institution
    School of Control Science and Engineering, Shandong University, Jinan 250061, P.R. China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    587
  • Lastpage
    592
  • Abstract
    Using the semi-tensor product method, this paper investigates the epidemic dynamics on an adaptive network, and presents several new results. First, a formal susceptible-infected-susceptible epidemic dynamic model on an adaptive network is given. Second, the dynamics of individual states and the dynamics of network topologies are converted into algebraic forms via the semi-tensor product of matrices, respectively. Third, with the help of the algebraic formulation, all possible final spreading equilibria are obtained for any given initial epidemic state and network topology. The study of an illustrative example shows that the new results obtained are effective.
  • Keywords
    Adaptation models; Adaptive systems; Diseases; Mathematical model; Matrix converters; Network topology; Silicon; Adaptive network; Co-evolution; Epidemic dynamics; Semi-tensor product of matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7259700
  • Filename
    7259700