• DocumentCode
    593943
  • Title

    Generalized Structural Holes Finding Algorithm by Bisection in Social Communities

  • Author

    Ende Zhang ; Guoren Wang ; Kening Gao ; Xiangguo Zhao ; Yu Zhang

  • Author_Institution
    Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    25-28 Aug. 2012
  • Firstpage
    276
  • Lastpage
    279
  • Abstract
    Structural holes" is a conception proposed by sociologist Ronald Burt [1], which refer to the absence of ties between two parts of a network. in this paper, we develop this conception and proposed a new conception called generalized structural holes" between communities in social network and proposed an effective algorithm to find them. We believe that generalized structural holes play a key role in many aspects on social networks, such as communication between communities, diffusion of innovation, information spreading. We prove that such problem of finding generalized structural holes is NP-complete, and we propose a heuristic algorithm to find these generalized structural holes. Experiments on both synthetic and real word data set show that the discovery of generalized structural is effective and efficient, and the results also demonstrate that the real word networks have a hierarchical community structure, and our algorithm perform very well on them.
  • Keywords
    computational complexity; innovation management; social networking (online); NP-complete problem; generalized structural discovery; generalized structural hole finding algorithm; heuristic algorithm; hierarchical community structure; information spreading; innovation diffusion; social community bisection; social network; Communities; Eigenvalues and eigenfunctions; Heuristic algorithms; Joining processes; Laplace equations; Social network services; Symmetric matrices; Laplacian matrix; community; social networks; structural holes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
  • Conference_Location
    Kitakushu
  • Print_ISBN
    978-1-4673-2138-9
  • Type

    conf

  • DOI
    10.1109/ICGEC.2012.98
  • Filename
    6457262