• DocumentCode
    598534
  • Title

    Detecting Geographic Community in Mobile Social Network

  • Author

    Duan Hu ; Shu Chen ; Lai Tu ; Benxiong Huang

  • Author_Institution
    EIE Dept., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2012
  • fDate
    20-23 Nov. 2012
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    We propose a new measurement called geographic community, which provides a bridge between spatial proximity and the social nature of individuals in mobile social network. A novel approach for detecting these geographic communities has been proposed. Through developing a spatial proximity matrix, an improved symmetric nonnegative matrix factorization method (SNMF) is used for detecting these geographic communities. Based on several experimental results, the advantages of this proposed measurement have been presented. Finally, several future directions extending from this new measurement have been discussed.
  • Keywords
    matrix decomposition; mobile computing; social networking (online); SNMF; geographic community detection; mobile social network; spatial proximity matrix; symmetric nonnegative matrix factorization method; Communities; Data mining; Indexes; Mobile communication; Mobile computing; Social network services; Symmetric matrices; community structure; geographic community; measurement; mobile social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2012 IEEE International Conference on
  • Conference_Location
    Besancon
  • Print_ISBN
    978-1-4673-5146-1
  • Type

    conf

  • DOI
    10.1109/GreenCom.2012.57
  • Filename
    6468335