• DocumentCode
    2596610
  • Title

    Discovery of Music through Peers in an Online Community

  • Author

    Garg, Rajiv ; Smith, Michael D. ; Telang, Rahul

  • Author_Institution
    Heinz Coll., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    4-7 Jan. 2011
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Peer influence in social networks has been studied for over four decades by social scientists and marketing researchers. Due to recent growth of internet technologies and online social networks, research on peer influence has gained even more attention over the last decade. But, most extant empirical work measuring peer effect faces challenges due to selection problem, difficulty in separating source of influence, and accounting for a user´s pre-existing knowledge. In this paper we overcome these challenges by strategically dissecting the archival data and find that the online users have a small but statistically significant influence on other peers in discovery of music. We cleanly and empirically estimate that online users are 6 times more likely to discover new music because of their peers in an online community when compared to discovery in the absence of those peers.
  • Keywords
    Internet; data mining; music; peer-to-peer computing; social networking (online); Internet; knowledge discovery; music; online community; peer influence; social networks; Artificial neural networks; Communities; Educational institutions; Estimation; Internet; Social network services; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2011 44th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4244-9618-1
  • Type

    conf

  • DOI
    10.1109/HICSS.2011.168
  • Filename
    5718904