Paper Info
Title
Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks
Abstract
Ranking areas by popularity of a business category is an essential problem for business planning. Traditional approaches rely on economic and demographic factors nearby. However, the acquisition of relevant data is usually expensive. In this paper we propose a novel approach to address this problem by exploiting user-generated contents from location based social networks, which are cheap, fine-grained, and abundant. Particularly, by analyzing a dataset collected from Foursquare in Paris, we attain the customer distribution across all categories in each area. With the help of data mining methods, the popularity (i.e., the number of customers) of a particular business category can be estimated from popularities of other nearby categories, and then can be ranked accordingly. The evaluation shows that these methods significantly outperform the passenger volume based method.
Year
DOI
Venue
2013
10.1109/UIC-ATC.2013.84
UIC/ATC
Keywords
Field
DocType
business category,data mining methods,largest market,nearby category,popularity ranking,relevant data,social networks,business planning,user-generated contents,essential problem,area ranking,ranking areas,market size estimation,data mining,market research,social networking (online),location based social networks,data mining method,demographic factor,particular business category,novel approach,business site selection,customer distribution
Data science,Data mining,Social network,Ranking,Computer science,Popularity,Computer network,Market research
Conference
ISBN
Citations 
PageRank 
978-1-4799-2481-3
3
0.40
References 
Authors
9
3
Name
Order
Citations
PageRank
Zhiyong Yu143640.86
Daqing Zhang23619217.31
Dingqi Yang354228.79