Achieving effective, sustainable environmental governance requires a better understanding
of the causes and consequences of the complex patterns of interdependencies connecting …

The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …

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 …

Humans recognize the visual world at multiple levels: we effortlessly categorize scenes and
detect objects inside, while also identifying the textures and surfaces of the objects along …

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 …

This article discusses the stochastic actor-oriented model for analyzing panel data of
networks. The model is defined as a continuous-time Markov chain, observed at two or more …

Anomalies in online social networks can signify irregular, and often illegal behaviour.
Detection of such anomalies has been used to identify malicious individuals, including …

The application of method and theory from network science to archaeology has dramatically
increased over the last decade. In this article, we document this growth over time, discuss …

The rise of big data—data that are not only large and massively multivariate but concern a
dizzying array of phenomena—represents a watershed moment for the social sciences …

Over the last fifty years, research into street networks has gained prominence with a rapidly
growing number of studies across disparate disciplines. These studies investigate a wide …