Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

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 …

Human mobility impacts many aspects of a city, from its spatial structure,–to its response to
an epidemic,,–. It is also ultimately key to social interactions, innovation, and productivity …

Policymakers everywhere are working to determine the set of restrictions that will effectively
contain the spread of COVID-19 without excessively stifling economic activity. We show that …

Large-scale data sets of human behavior have the potential to fundamentally transform the
way we fight diseases, design cities, or perform research. Metadata, however, contain …

The study of socio-technical systems has been revolutionized by the unprecedented amount
of digital records that are constantly being produced by human activities such as accessing …

With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

The key component in forecasting demand and consumption of resources in a supply
network is an accurate prediction of real-valued time series. Indeed, both service …

In this study we analyze the travel patterns of 500,000 individuals in Cote d'Ivoire using
mobile phone call data records. By measuring the uncertainties of movements using …

Worker selection is a key issue in mobile crowd sensing (MCS). While the previous worker
selection approaches mainly focus on selecting a proper subset of workers for a single MCS …