• DocumentCode
    2956561
  • Title

    User Classification and Relationship Detecting on Social Network Site

  • Author

    Wu, Zhe ; Chen, Changjia

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Recently Social network site has been attracting researchers\´ attention world wide because of that as a newly interpersonal communication media. In this paper, a study of one Online Social Network, namely "17salsa-net" (www.17salsa.com) which is one of the biggest online social networks that providing services for salsa dancers and salsa fansin China, had been made to lay out a systematic analys is of user classification and relationship. Relationship can be detected and we lay out that the role of the user in this online social network based on their relationships. From users\´ actions on this website, they can be classified into some kinds and we can get the features of users of 17salsa-net.
  • Keywords
    social networking (online); user interfaces; China; online social network; social network site; user classification; user relationship detection; Algorithm design and analysis; Blogs; Clustering algorithms; Fans; Publishing; Social network services; Systematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997795
  • Filename
    5997795