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
Link To Document