• DocumentCode
    2409007
  • Title

    Vizster: visualizing online social networks

  • Author

    Heer, Jeffrey ; Boyd, Danah

  • Author_Institution
    Comput. Sci. Div., California Univ., Berkeley, CA
  • fYear
    2005
  • fDate
    23-25 Oct. 2005
  • Firstpage
    32
  • Lastpage
    39
  • Abstract
    Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual "friendship" relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large scale online social networks. Our design builds upon familiar node link network layouts to contribute customized techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the system\´s usability, capacity for facilitating discovery, and potential for fun and engaged social activity
  • Keywords
    computational geometry; data visualisation; social sciences; Vizster; data mining; large graph structures; node link network layout; online community ethnographic research; online social network visualization; online social networking services; social network exploration; social network navigation; visual analysis; visual search; visualization system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    0-7803-9464-X
  • Type

    conf

  • DOI
    10.1109/INFVIS.2005.1532126
  • Filename
    1532126