• DocumentCode
    496297
  • Title

    Identification of Community Structure in Networks

  • Author

    Chen, Jun ; Ma, Tieju ; Chi, Chunjie

  • Author_Institution
    Sch. of Bus., East China Univ. of Sci. & Technol., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    395
  • Lastpage
    398
  • Abstract
    In recent years, researchers show considerable interests in identification of communities in complex networks. Diverse methods have been developed to address this problem. This paper presents a new algorithm for identifying communities in complex networks. The algorithm was inspired by studies on the effect of structural holes in networks. We tested the performance of the new algorithm with several complex networks and the test show the algorithm efficient.
  • Keywords
    social networking (online); complex networks; network community structure; structural holes; Clustering algorithms; Clustering methods; Complex networks; Computer networks; Filling; IP networks; Mechanical factors; Social network services; Spectral analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.433
  • Filename
    5193722
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=496297