Community detection in networks is one of the most popular topics of modern network
science. Communities, or clusters, are usually groups of vertices having higher probability of …

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

How big data and machine learning encode discrimination and create agitated clusters of
comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is …

Social networks can shape many aspects of social and economic activity: migration and
trade, job-seeking, innovation, consumer preferences and sentiment, public health, social …

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 …

The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …

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 …

Even though human movement and mobility patterns have a high degree of freedom and
variation, they also exhibit structural patterns due to geographic and social constraints …

The moment when the hyperconnectedness of our world became most evident to me was on
October 20th, 2011, when images of the death of Colonel Muammar el-Qaddafi, the former …

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