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 …

Peer influence is one of the most proximal risk factors for adolescent substance use, and
decades of theoretical and empirical research point to the importance of disentangling two …

Predicting the crowd flow in various areas of the city is of strategic importance for traffic
control and public safety. In recent years, crowd flow prediction based on spatio-temporal …

Throughout the book, we use empirical examples to illustrate the material. Because social
networks are studied in a variety of traditional academic disciplines, we draw our examples …

Using 50 effect sizes from both published and unpublished studies (team n= 3,198), we
provide meta-analytic support for the positive relationship between shared leadership and …

Peers become increasingly important socializing agents for academic behaviors and
attitudes during adolescence. This study investigated peer influence and selection effects on …

Relationships and the pattern of relationships have a large and varied influence on both
individual and group action. The fundamental distinction of social network analysis research …

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 …

In the thoroughly updated edition of Social Network Analysis, authors David Knoke and
Song Yang take into account the vast number of changes in the field that have occurred in …

This article provides an introductory summary to the formulation and application of
exponential random graph models for social networks. The possible ties among nodes of a …