• DocumentCode
    2408399
  • Title

    Exploring Social Networks: A Frequent Pattern Visualization Approach

  • Author

    Leung, Carson Kai-Sang ; Carmichael, Christopher L.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    Social network analysis and mining aims to search for implicit, previously unknown, and potentially useful relational information (e.g., social relationship) from social networks. A visual representation of the networks helps users to gain insights about the useful information mined from the networks. Many existing visualizers represent social networks as graphs. While the graphs depict pairwise connections between two social entities, they may not show the connection strength or the multi-entity relationship (e.g., coauthorship and collaboration frequency). In this paper, we propose a visualizer called SocialViz for providing users with frequency information on social relationship among multiple entities in the networks. SocialViz can serve as a standalone visualization tool, or as a complement to existing visualizers, for exploring social networks.
  • Keywords
    data mining; data visualisation; graphs; social networking (online); SocialViz; coauthorship; collaboration frequency; frequent pattern visualization approach; graphs; social network analysis; social network mining; Cellular phones; Collaboration; Communication networks; Data mining; Data visualization; Diamond-like carbon; Social network services; Social computing; data mining in social contexts; frequent pattern mining; human machine interactions; social network analysis and mining; visualizing social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-8439-3
  • Electronic_ISBN
    978-0-7695-4211-9
  • Type

    conf

  • DOI
    10.1109/SocialCom.2010.67
  • Filename
    5591283