Quantifying social influence in an online music community

Sanjeev Dewan, Yi Jen Ho, Jui Ramaprasad

Research output: Contribution to conferencePaper

Abstract

This paper studies two types of social influence in an online music community: observational learning influence based on aggregate consumption data, and social network influence based on music consumption by friends in social proximity. The analysis uses a variety of empirical methods, applied to highly granular user listening and "favoriting" behavior on the largest music blog aggregator site. Our analysis finds positive evidence for observational learning effects, but no evidence for social network influence. Thus, any social influence in this music context is channeled through popularity cues offered by aggregate consumption statistics, rather than contact and communication with friends in close social proximity. We discuss implications of these results for research and practice.

Original languageEnglish (US)
Publication statusPublished - Jan 1 2013
Event23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013 - Milan, Italy
Duration: Dec 14 2013Dec 15 2013

Other

Other23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013
CountryItaly
CityMilan
Period12/14/1312/15/13

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All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Dewan, S., Ho, Y. J., & Ramaprasad, J. (2013). Quantifying social influence in an online music community. Paper presented at 23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013, Milan, Italy.