… Snijders TAB., 2001; The statistical evaluation of social network dynamics. Sociol. Methodol.
… Snijders TAB., 2010; Conditional marginalization for exponential random graph models. J. …

What are the possibilities of snowball sampling, if one desires valid statistical inference
without making probabilistic assumptions on the network structure? In a critical review of the …

… Snijders TAB, 2003; Statistical analysis of longitudinal network data with changing composition.
Sociol. … Snijders TAB, 2016b The multiple flavours of multilevel issues for networks. …

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 …

Sample size determination in multilevel designs requires attention to the fact that statistical
power depends on the total sample sizes for each level. It is usually desirable to have as …

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 …

The most promising class of statistical models for expressing structural properties of social
networks observed at one moment in time is the class of exponential random graph models (…

A class of statistical models is proposed for longitudinal network data. The dependent variable
is the changing (or evolving) relation network, represented by two or more observations of …

This paper is about estimating the parameters of the exponential random graph model, also
known as the p∗ model, using frequentist Markov chain Monte Carlo (MCMC) methods. The …

A recurrent problem in the analysis of behavioral dynamics, given a simultaneously evolving
social network, is the difficulty of separating the effects of partner selection from the effects …