This chapter proposes a statistical method for investigating network structure together with
relevant actor attributes as joint dependent variables in a longitudinal framework, assuming …

SIENA (for Simulation Investigation for Empirical Network Analysis) is a computer program
that carries out the statistical estimation of models for the evolution of social networks …

Actor-oriented models are described as a longitudinal strategy for examining the co-
evolution of social networks and individual behaviors. We argue that these models provide …

SIENA (for Simulation Investigation for Empirical Network Analysis) is a computer program
that carries out the statistical estimation of models for the evolution of social networks …

Dynamic ideas have been pursued in much of social network analysis. Network dynamics is
important for domains ranging from friendship networks (eg, Pearson and West, 2003; Burk …

When we think of social networks, it is quite natural to think of them as being dynamic. Ties
are established, gain in strength, they can blossom and decay, and they may wither or be …

Structuration theory (ST) and network analysis are promising approaches for studying the
emergence of communication networks. We offer a model that integrates the conceptual …

A statistical model for observed network data allows us to both summarize quantitatively the
effects that give rise to the network and simulate new networks from a probability distribution …

be regarded as agent-based models, and they can be implemented as computer simulation
models. To estimate the parameters of the model, stochastic approximation methods can be …

StOCNET is an open and user-friendly software system for the advanced statistical analysis
of social networks, focusing on probabilistic (stochastic) models1. This manual is a …