Well-established fine-scale urban mobility models today depend on detailed but
cumbersome and expensive travel surveys for their calibration. Not much is known …

Large metropolitan cities bring together diverse individuals, creating opportunities for
cultural and intellectual exchanges, which can ultimately lead to social and economic …

Point of interest (POI) recommendation, which provides personalized recommendation of
places to mobile users, is an important task in location-based social networks (LBSNs) …

The increasing availability of trajectory recordings has led to the mining of a massive amount
of historical track data, allowing for a better understanding of travel behaviors by revealing …

There is a burst of work on human mobility and encounter networks. However, the
connection between these two important fields just begun recently. It is clear that both are …

Spatial clustering deals with the unsupervised grouping of places into clusters and finds
important applications in urban planning and marketing. Current spatial clustering models …

Being a leading online service providing both local search and social networking functions,
Foursquare has attracted tens of millions of users all over the world. Understanding the user …

Economic and urban planning agencies have strong interest in tackling the hard problem of
predicting the odds of survival of individual retail businesses. In this work, we tap urban …

Social graphs have been widely used for representing the relationship among users in
online social networks (OSNs). As crawling an entire OSN is resource-and time-consuming …

We aim to study the temporal patterns of activity in points of interest of cities around the
world. In order to do so, we use the data provided by the online location-based social …