• DocumentCode
    51311
  • Title

    Defeating Terrorist Networks with Game Theory

  • Author

    Michalak, Tomasz P. ; Rahwan, Talal ; Skibski, Oskar ; Wooldridge, Michael

  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan.-Feb. 2015
  • Firstpage
    53
  • Lastpage
    61
  • Abstract
    This column discusses the problem of identifying key members of a terrorist network. Game-theoretic centrality measures offer solutions but also raise computational challenges. The authors present a survey of this work and show how some of the computational challenges can be overcome.
  • Keywords
    game theory; terrorism; game-theoretic centrality measures; terrorist network; Game theory; Statistical analysis; Terrorism; Weapons; 9/11; Myerson value; Shapley value; betweenness; centrality measures; closeness; cooperative game theory; degree; game-theoretic centrality; terrorist network;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2015.11
  • Filename
    7030270