• DocumentCode
    1910068
  • Title

    Key Player Identification: A Note on Weighted Connectivity Games and the Shapley Value

  • Author

    Lindelauf, Roy ; Blankers, Iris

  • Author_Institution
    Mil. Operational Art & Sci., Netherlands Defense Acad., Breda, Netherlands
  • fYear
    2010
  • fDate
    9-11 Aug. 2010
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    The use of graph theory in social network analysis to identify the most important actors is well-known. More recently game theory has also been applied to measure centrality as variation in the power due to the social structure. Here we present such a solution concept from cooperative game theory, the Shapley value, to identify key players engaged in a network. The communication structure among the players is modeled by use of the so-called connectivity game. We analyze standard networks representative of covert organizations and present results on the centrality of players organized according to an a-symmetric path structure. In addition we present an analysis of a weighted connectivity game in which the worth of coalitions not only depends on their interaction structure but also on exogenous factors.
  • Keywords
    game theory; graph theory; Shapley value; connectivity games; graph theory; key player identification; social network analysis; Game theory; Games; Graph theory; Organizations; Resource management; Social network services; Standards organizations; Centrality; Connectivity game; Covert Networks; Shapley value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
  • Conference_Location
    Odense
  • Print_ISBN
    978-1-4244-7787-6
  • Electronic_ISBN
    978-0-7695-4138-9
  • Type

    conf

  • DOI
    10.1109/ASONAM.2010.33
  • Filename
    5562746