• DocumentCode
    593684
  • Title

    Automatic social group organization and privacy management

  • Author

    Squicciarini, Anna ; Karumanchi, S. ; Lin, Dongyang ; DeSisto, N.

  • Author_Institution
    Inf. Sci. & Technol., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    89
  • Lastpage
    96
  • Abstract
    With the dramatic increase of users on social network websites, the needs to assist users to manage their large number of contacts as well as providing privacy protection become more and more evident. Unfortunately, limited tools are available to address such needs and reduce users´ workload on managing their social relationships. To tackle this issue, we propose an approach to facilitate online social network users to group their contacts into social circles with common interests. Further, we leverage the social group practice to automate the privacy setting process for users who add new contacts or upload new data items. We conducted a user study to evaluate the effectiveness of our solution.
  • Keywords
    data privacy; group theory; security of data; social networking (online); automatic social group organization; contact management; privacy management; privacy protection; privacy setting process automation; social group practice; social network Web sites; social relationships; user workload reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012 8th International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4673-2740-4
  • Type

    conf

  • Filename
    6450896