In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

The physical environment is becoming more and more saturated with computing and
communication entities that interact among themselves, as well as with users: virtually …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …

The advent of geographic online social networks such as Foursquare, where users
voluntarily signal their current location, opens the door to powerful studies on human …

The problem of identifying the optimal location for a new retail store has been the focus of
past research, especially in the field of land economy, due to its importance in the success of …

Recommender systems suggest to users items that they might like (eg, news articles, songs,
movies) and, in doing so, they help users deal with information overload and enjoy a …

A relationship between people's mobility and their social networks is presented based on an
analysis of calling and mobility traces for one year of anonymized call detail records of over …

Prediction of individual mobility is crucial in human mobility related applications. Whereas,
existing research on individual mobility prediction mainly focuses on next location prediction …

The popularity of location-based social networks available on mobile devices means that
large, rich datasets that contain a mixture of behavioral (users visiting venues), social (links …

Predictive models for human mobility have important applications in many fields including
traffic control, ubiquitous computing, and contextual advertisement. The predictive …