• DocumentCode
    2218583
  • Title

    C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership

  • Author

    Kang, Hyunmo ; Getoor, Lise ; Singh, Lisa

  • Author_Institution
    Univ. of Maryland, College Park
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 1 2007
  • Firstpage
    211
  • Lastpage
    212
  • Abstract
    C-GROUP is a tool for analyzing dynamic group membership in social networks over time. Unlike most network visualization tools, which show the group structure within an entire network, or the group membership for a single actor, C-GROUP allows users to focus their analysis on a pair of individuals of interest. And unlike most dynamic social network visualization tools, which focus on the addition and deletion of nodes (actors) and edges (relationships) over time, C-GROUP focuses on changing group memberships over time. C-GROUP provides users with a flexible interface for defining (and redefining) groups interactively, and allows users to view the changing group memberships for the pair over time. This helps to highlight the similarities and differences between the individuals and their evolving group memberships. C-GROUP allows users to dynamically select the time granularity of the temporal evolution and supports two novel visual representations of the evolving group memberships. This flexibility gives users alternate views that are appropriate for different network sizes and provides users with different insights into the grouping behavior.
  • Keywords
    computer animation; data visualisation; groupware; social sciences computing; user interfaces; computer animation; data visualization; dynamic group membership; pairwise analysis; social network; user interface; visual analytic tool; Bipartite graph; Communication networks; Data analysis; Data visualization; Educational institutions; Electronic mail; Information analysis; Navigation; Social network services; Visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    978-1-4244-1659-2
  • Type

    conf

  • DOI
    10.1109/VAST.2007.4389022
  • Filename
    4389022