Quantifying social influence in Epinions

Akshay Patil, Golnaz Ghasemiesfeh, Roozbeh Ebrahimi, Jie Gao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In many eCommerce websites and consumer review websites, users can review products they purchased as well as the reviews others wrote. Users can also rate each other as trusted or untrusted relationships. By studying a data set from Epinions, we examine and quantify the correlation between trust/distrust relationships among the users and their ratings of the reviews. We discover that there is a strong alignment between the opinions of one's friends and his/her ratings. Our findings also suggest that there is a strong alignment between the collective opinion of a user's friends and the formation of his/her future relationships.

Original languageEnglish (US)
Title of host publicationProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
Pages87-92
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013 - Washington, DC, United States
Duration: Sep 8 2013Sep 14 2013

Publication series

NameProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

Other

Other2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
Country/TerritoryUnited States
CityWashington, DC
Period9/8/139/14/13

All Science Journal Classification (ASJC) codes

  • Software

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