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 :
بازگشت