• DocumentCode
    2720640
  • Title

    The Discrete-Time SIS Model in Small-World Networks

  • Author

    Li, Guangzheng ; Shi, Dinghua ; Zhang, Zhongzhi

  • Author_Institution
    Dept. of Found. Disciplines, Jiangsu Vocational & Tech. Coll. of Finance & Econ., Huai´´an, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1378
  • Lastpage
    1380
  • Abstract
    We could get the epidemic threshold from continuous-time SIS model in small-world networks, but the steady value of spreading process shows a large difference with the simulations. To explain this difference, by introducing discrete-time SIS model, the steady value fit well with the simulations as γ <; 1. As β = γ = 1, both models could not explain the periodicity in the spreading process.
  • Keywords
    diseases; epidemics; small-world networks; continuous-time SIS model; discrete-time SIS model; epidemic SIS model; epidemic threshold; infectious deseases; small-world networks; spreading process steady value; Diseases; Educational institutions; Equations; Mathematical model; Sociology; Statistics; Stochastic processes; critical behavior; discrete-time SIS model; endemic threshold; simulations; small-world networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.347
  • Filename
    6394585