• DocumentCode
    2774789
  • Title

    Anti-preferential Attachment: If I Follow You, Will You Follow Me?

  • Author

    Lang, Juan ; Wu, S. Felix

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California, Davis, CA, USA
  • fYear
    2011
  • fDate
    9-11 Oct. 2011
  • Firstpage
    339
  • Lastpage
    346
  • Abstract
    A common question in social networking research is how edges form to produce social graphs with the common characteristics, including a power-law degree distribution and a small diameter. One common model for edge formation in synthetic networks is preferential attachment. We examine the edge formation process of one Online Social Network (OSN), Buzz net, and look for evidence for preferential attachment. To our surprise, we find that a form of` `anti-preferential attachment´´ is common, in which high-degree nodes add edges to low-degree nodes, perhaps as a means of self-promotion. We also find that nodes are most likely to reciprocate edges from low-degree nodes, limiting the extent to which anti-preferential attachment can succeed in boosting a high-degree node´s in-degree.
  • Keywords
    Internet; social networking (online); Buzz net; antipreferential attachment; edge formation process; high-degree nodes; online social network; power-law degree distribution; social graph; social networking; synthetic network; Data models; Fans; Limiting; Power capacitors; Twitter; Upper bound; growth; link prediction; preferential attachment; reciprocity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4577-1931-8
  • Type

    conf

  • DOI
    10.1109/PASSAT/SocialCom.2011.59
  • Filename
    6113133