• DocumentCode
    2409577
  • Title

    Does Similarity Breed Connection? - An Investigation in Blogcatalog and Last.fm Communities

  • Author

    Bisgin, Halil ; Agarwal, Nitin ; Xu, Xiaowei

  • Author_Institution
    Univ. of Arkansas at Little Rock, Little Rock, AR, USA
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    570
  • Lastpage
    575
  • Abstract
    Similarity breeds connections, the principle of homophily, has been well studied in existing sociology literature. Several studies have observed this phenomenon by conducting surveys on human subjects. These studies have concluded that new ties are formed between similar individuals. This phenomenon has been used to explain several socio-psychological concepts such as segregation, community development, social mobility, etc. However, due to the nature of these studies and limitations because of involvement of human subjects, conclusions from these studies are not easily extensible in online social media. Social media, which is becoming the infinite space for interactions, has exceeded all the expectations in terms of growth and user participation, for reasons beyond human mind. New ties are formed in social media similarly as they would emerge in real-world. However, given the differences between real-world and online social media, do the same factors that govern the construction of new ties in real-world also govern the construction of new ties in social media? In this article, we study this extremely significant question. We propose a systematic approach by studying two online social media sites, BlogCatalog and Last.fm at varying granularity of interactions and report our findings along with some interesting observations.
  • Keywords
    Web sites; psychology; social aspects of automation; social sciences computing; Last.fm; blogcatalog; homophily; online social media sites; similarity breed connection; socio-psychological concepts; sociology literature; Clustering algorithms; Communities; Construction industry; Humans; Media; Social network services; Tag clouds; BlogCatalog; Frequent Pattern Mining; Homophily; Last.fm; NDCG; Network Clustering; Online Social Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-8439-3
  • Electronic_ISBN
    978-0-7695-4211-9
  • Type

    conf

  • DOI
    10.1109/SocialCom.2010.90
  • Filename
    5591346