Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …

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

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Recent years have seen a resurgence of interest in the relation between networks and
spatial context. This review examines critically a selection of the literature on how physical …

Individuals with depressive symptoms are more likely to be isolated in their social networks,
which can further increase their symptoms. Although social interactions are an important …

The term big data is currently a buzzword in social science, however its precise meaning is
ambiguous. In this paper we focus on administrative data which is a distinctive form of big …

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 …

We study fifteen months of human mobility data for one and a half million individuals and
find that human mobility traces are highly unique. In fact, in a dataset where the location of …

COVID-19 caused significant challenges for small and medium-sized enterprises (SMEs) in
the event industry. To address these challenges, many SMEs leveraged information and …