Computer ScienceBusiness

Detecting Social Commerce: An Empirical Analysis on Yelp

Jiangtao Qiu, Yinghong Li, Zhangxi Lin

2020Journal of Electronic Commerce Research

tlooto Summary

An analysis framework is developed that incorporates four tasks that explore the small-world and power-law properties of the friendship networks constructed by users of e-commerce websites, detect homophily, investigate social influence occurring among users, and build a profile for the influencers in the network.

Abstract

Social commerce refers to the use of social media (or social network) to facilitate user participation in online businesses. The major configurations of social commerce websites fall into two classes, the social media with commercial features and the e-commerce websites with social networking capabilities. This paper is concerned with the question of whether the social networking functions can definitely help the e-commerce websites establish their social commerce. To answer this question, this study develops an analysis framework that incorporates four tasks: (1) explore the small-world and power-law properties of the friendship networks constructed by users of e-commerce websites, (2) detect homophily, (3) investigate social influence occurring among users, and (4) build a profile for the influencers in the network. Employing the framework to conduct an empirical analysis on the Yelp dataset, we gained insights into social commerce on Yelp, which reveals that the social networking functions do not work well and social commerce occurs only in a small user group. This study also shows a clear route by which Yelp can improve its social commerce, i.e., by encouraging more users to build friendships and by promoting users to use the social networking functions.

Citation format

QIU, Jiangtao; LI, Yinghong; LIN, Zhangxi. Detecting social commerce: An empirical analysis on yelp. Journal of Electronic Commerce Research, 2020, 21: 168.