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

The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Traditional understanding of urban income segregation is largely based on static coarse-
grained residential patterns. However, these do not capture the income segregation …

ABSTRACT New York City's multipronged subway system was a major disseminator–if not
the principal transmission vehicle–of coronavirus infection during the initial takeoff of the …

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 …

This book is principally intended for social scientists wanting to undertake social network
research. It assumes the reader already knows a thing or two (perhaps even a lot) about …

Traffic in an urban network becomes congested once there is a critical number of vehicles in
the network. To improve traffic operations, develop new congestion mitigation strategies …

Urban spatial structure in large cities is becoming ever more complex as populations grow in
size, engage in more travel, and have increasing amounts of disposable income that enable …

This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …

Background The transmission of infectious diseases is dependent on the amount and nature
of contacts between infectious and healthy individuals. Confined and crowded environments …