• DocumentCode
    3166791
  • Title

    Exploration of Link Structure and Community-Based Node Roles in Network Analysis

  • Author

    Scripps, Jerry ; Tan, Pang-Ning ; Esfahanian, Abdol-Hossein

  • Author_Institution
    Michigan State Univ., East Lansing
  • fYear
    2007
  • fDate
    28-31 Oct. 2007
  • Firstpage
    649
  • Lastpage
    654
  • Abstract
    Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, it may not be the case when the communities are defined using other external criterion. In this paper we provide a new way to measure the alignment. We also provide a new metric that can be used to estimate the number of communities to which a node is attached. This metric, along with degree, is used to assign a community-based role to nodes. We demonstrate the usefulness of the community-based node roles by applying them to the influence maximization problem.
  • Keywords
    telecommunication links; telecommunication networks; community-based node roles; link structure exploration; maximization problem; network analysis; Communities; Computer networks; Computer science; Data analysis; Data engineering; Data mining; Q measurement; Social network services; Statistics; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on
  • Conference_Location
    Omaha, NE
  • ISSN
    1550-4786
  • Print_ISBN
    978-0-7695-3018-5
  • Type

    conf

  • DOI
    10.1109/ICDM.2007.37
  • Filename
    4470305