In the past 15 years, statistical physics has been successful as a framework for modelling
complex networks. On the theoretical side, this approach has unveiled a variety of physical …

A great variety of systems in nature, society and technology–from the web of sexual contacts
to the Internet, from the nervous system to power grids–can be modeled as graphs of …

Unlike many complex networks studied in the literature, social networks rarely exhibit
unanimous behavior, or consensus. This requires a development of mathematical models …

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 …

There is a large and growing literature on peer effects in economics. In the current article, we
focus on a Manski-type linear-in-means model that has proved to be popular in empirical …

Disentangling the effects of selection and influence is one of social science's greatest
unsolved puzzles: Do people befriend others who are similar to them, or do they become …

Political science is fascinated with networks. This fascination builds on networks' descriptive
appeal, and descriptions of networks play a prominent role in recent forays into network …

Network analysis is widely used in diverse fields and can be a powerful framework for
studying the structure of biological systems. Temporal dynamics are a key issue for many …

We develop a dynamic network formation model that can explain the observed nestedness
in real‐world networks. Links are formed on the basis of agents' centrality and have an …

This study concerns peer selection and influence dynamics in early adolescents' friendships
regarding academic achievement. Using longitudinal social network analysis (RSiena), both …