TY - JOUR
T1 - A deep dive into location-based communities in social discovery networks
AU - Thilakarathna, Kanchana
AU - Seneviratne, Suranga
AU - Gupta, Kamal
AU - Kaafar, Mohamed Ali
AU - Seneviratne, Aruna
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Location-based social discovery networks (LBSD) is an emerging category of location-based social networks (LBSN) that are specifically designed to enable users to discover and communicate with nearby people. In this paper, we present the first measurement study of the characteristics and evolution of location-based communities which are based on a social discovery network and geographic proximity. We measure and analyse more than 176K location-based communities with over 1.4 million distinct members of a popular social discovery network and more than 46 million locations. We characterise the evolution of the communities and study the user behaviour in LBSD by analysing the mobility features of users belonging to communities in comparison to non-community members. Using observed spatio-temporal similarity features, we build and evaluate a classifier to predict location-based community membership solely based on user mobility information.
AB - Location-based social discovery networks (LBSD) is an emerging category of location-based social networks (LBSN) that are specifically designed to enable users to discover and communicate with nearby people. In this paper, we present the first measurement study of the characteristics and evolution of location-based communities which are based on a social discovery network and geographic proximity. We measure and analyse more than 176K location-based communities with over 1.4 million distinct members of a popular social discovery network and more than 46 million locations. We characterise the evolution of the communities and study the user behaviour in LBSD by analysing the mobility features of users belonging to communities in comparison to non-community members. Using observed spatio-temporal similarity features, we build and evaluate a classifier to predict location-based community membership solely based on user mobility information.
KW - human mobility
KW - link prediction
KW - social discovery networks
UR - http://www.scopus.com/inward/record.url?scp=85008950972&partnerID=8YFLogxK
U2 - 10.1016/j.comcom.2016.11.008
DO - 10.1016/j.comcom.2016.11.008
M3 - Article
AN - SCOPUS:85008950972
SN - 0140-3664
VL - 100
SP - 78
EP - 90
JO - Computer Communications
JF - Computer Communications
ER -