• DocumentCode
    1822603
  • Title

    Assessing network vulnerability in a community structure point of view

  • Author

    Nguyen, Nam P. ; Alim, Mohammad A. ; Yilin Shen ; Thai, My T.

  • Author_Institution
    Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    231
  • Lastpage
    235
  • Abstract
    We introduce Community structure Vulnerability Assessment (CVA) problem to assess the network vulnerability under a community structure point of view. Given a positive number k, CVA aims to find out the k most vulnerable nodes whose removals maximally transform the current network community structure to a different one. As the first attempt, we suggest an approximation algorithm for the special case k = 1, and propose multiple greedy algorithms for CVA problem. To certify the effectiveness of suggested approaches, we test them on not only synthesized networks with known community structures but also on real-world social traces.
  • Keywords
    greedy algorithms; network theory (graphs); reliability theory; CVA problem; approximation algorithm; community structure vulnerability assessment; multiple greedy algorithms; network vulnerability assessment; positive number; real-world social traces; Communities; Complex networks; Conferences; Detection algorithms; Facebook; Heuristic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
  • Conference_Location
    Niagara Falls, ON
  • Type

    conf

  • Filename
    6785713