• DocumentCode
    2194979
  • Title

    Meerkat: Community Mining with Dynamic Social Networks

  • Author

    Chen, Jiyang ; Fagnan, Justin ; Goebel, Randy ; Rabbany, Reihaneh ; Sangi, Farzad ; Takaffoli, Mansoureh ; Verbeek, Eric ; Zaíane, Osmar

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    1377
  • Lastpage
    1380
  • Abstract
    Meerkat is a tool for visualization and community mining of social networks. It is being developed to offer novel algorithms and functionality that other tools do not possess. Meerkat´s features include navigation through graphical representations of networks, network querying and filtering, a multitude of graphical layout algorithms, community mining using recently developed algorithms, and dynamic network event analysis using recently published algorithms. These features will allow more insightful exploratory analysis and more robust inferences about communities and the significance of entity relationships. Meerkat is under active development, and future features will include additional options for community mining and visualization, focusing on algorithms and user interface designs not existing in other social network analysis tools.
  • Keywords
    data mining; data visualisation; graphical user interfaces; information filtering; social networking (online); Meerkat; community mining; dynamic network event analysis; graphical layout algorithms; network filtering; network graphical representations; network querying; published algorithms; social network analysis tools; user interface designs; visualization mining; community mining; informational networks; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.40
  • Filename
    5693457