• DocumentCode
    3773456
  • Title

    The Research of Virus Propagation and Immunization Strategy Based on the Restricted Edge Weighted BBV Network Model

  • Author

    Jiayue Zhang;Min Yang;Damin Zhang

  • Author_Institution
    Big Data &
  • Volume
    1
  • fYear
    2015
  • Firstpage
    204
  • Lastpage
    209
  • Abstract
    Compared with the BBV network model, the restricted edge weighted BBV network model can express a variety of real-world networks realistically. The research of virus propagation and immunization strategy based on the restricted edge weighted BBV network model will help to solve some problems better in the real networks. We got the virus propagation of the restricted edge weighted BBV network model through simulation experiments. And we found the restricted edge weighted BBV network model, the propagations of SIS virus propagation model and SIR virus propagation model is consistent with the BBV network model. At the same time, the study of immunization strategy on the restricted edge weighted BBV network model show that the immunization strategy of based node betweenness is the best. This conclusion is the same with the BBV network model. But the time to reach steady state after immunization on the restricted edge weighted BBV network model is less than the BBV network model. From the above results can obtain the virus propagation and proper immunization strategy of the restricted edge weighted BBV network model. The results also verify the advantages of the restricted edge weighted BBV network model.
  • Keywords
    "Immune system","Data models","Big data","Steady-state","Computational intelligence","Computational modeling","Road transportation"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
  • Print_ISBN
    978-1-4673-9586-1
  • Type

    conf

  • DOI
    10.1109/ISCID.2015.290
  • Filename
    7468934