Title :
Quantifying Social Influence in Epinions
Author :
Patil, Abhijit ; Ghasemiesfeh, Golnaz ; Ebrahimi, Roozbeh ; Jie Gao
Author_Institution :
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
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.
Keywords :
data mining; electronic commerce; social networking (online); Epinions; collective opinion; consumer review Websites; eCommerce Websites; product review; social influence quantification; untrusted relationship; user trust relationship; Computational modeling; Correlation; Electronic commerce; Internet; Joining processes; Measurement; Social network services; distrust; influence; social networks; trust;
Conference_Titel :
Social Computing (SocialCom), 2013 International Conference on
Conference_Location :
Alexandria, VA
DOI :
10.1109/SocialCom.2013.20
