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 review considers a common question in data analysis: What is the most useful way to
analyze longitudinal repeated measures data? We discuss some contemporary forms of …

The growth of social media over the last decade has revolutionized the way individuals
interact and industries conduct business. Individuals produce data at an unprecedented rate …

Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …

Stochastic actor-based models are models for network dynamics that can represent a wide
variety of influences on network change, and allow to estimate parameters expressing such …

Node characteristics and behaviors are often correlated with the structure of social networks
over time. While evidence of this type of assortative mixing and temporal clustering of …

We examine how firms can create word-of-mouth peer influence and social contagion by
designing viral features into their products and marketing campaigns. To econometrically …

In the current paper, we introduce the concept of decent education and highlight this new
construct as a critical predictor of decent work. We first review three broad areas where …

Evolutionary network analysis has found an increasing interest in the literature because of
the importance of different kinds of dynamic social networks, email networks, biological …

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 …