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 …

This article provides a selective review of the recent literature on econometric models of
network formation. I start with a brief exposition on basic concepts and tools for the statistical …

We survey the literature on the economic consequences of the structure of social networks.
We develop a taxonomy of “macro” and “micro” characteristics of social-interaction networks …

Complex networks are key to describing the connected nature of the society that we live in.
This book, the second of two volumes, describes the local structure of random graph models …

Networks are ubiquitous in science and have become a focal point for discussion in
everyday life. Formal statistical models for the analysis of network data have emerged as a …

Random graph null models have found widespread application in diverse research
communities analyzing network datasets, including social, information, and economic …

As economists endeavor to build better models of human behavior, they cannot ignore that
humans are fundamentally a social species with interaction patterns that shape their …

We introduce a method for the theoretical analysis of exponential random graph models.
The method is based on a large-deviations approximation to the normalizing constant …

This paper proposes an empirical model of network formation, combining strategic and
random networks features. Payoffs depend on direct links, but also link externalities. Players …

In this article I provide a (selective) review of the recent econometric literature on networks. I
start with a discussion of developments in the econometrics of group interactions. I …