• DocumentCode
    3745580
  • Title

    The Double Immunization Strategy Research Based on the Tibetan Web Community Division

  • Author

    Jiang Jing;Mou An;Chen Xinyi;Liu Yunjie

  • Author_Institution
    Gansu Province Sci. &
  • fYear
    2015
  • Firstpage
    1046
  • Lastpage
    1049
  • Abstract
    Through real time crawling network topology structure of Tibetan Web, analyzing the topology structure, first of all do the community division to find the nodes with the weak ties features by network topology structure and the theory of the community division. At the beginning of the immune, the nodes with weak ties are immune first, then the maximum degree of acquaintance immunization strategy were used according to the structure features of the community. Through analyzing the experimental data, the computation and immune cost of immunization strategy proposed in this paper are relatively smaller, and the immune effect are better, the method can effectively reduce the harm of the virus spreading to the network.
  • Keywords
    "Immune system","Feature extraction","Topology","Complex networks","Process control","Heuristic algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/IMCCC.2015.226
  • Filename
    7406005