174 citations · 255 across the 6 of their papers we have counts for
7 papers
Stochastic Actor Oriented Model with Random Effects
Giacomo Ceoldo, Tom A. B. Snijders, Ernst C. Wit
The stochastic actor oriented model (SAOM) is a method for modelling social interactions and social behaviour over time. It can be used to model drivers of dynamic interactions usi…
Multilevel Longitudinal Analysis of Social Networks
Johan Koskinen, Tom A. B. Snijders
Stochastic actor-oriented models (SAOM) are a broadly applied modelling framework for analysing network dynamics using network panel data. They have been extended to address co-evo…
Modeling partitions of individuals
Marion Hoffman, Per Block, Tom A. B. Snijders
Despite the central role of self-assembled groups in animal and human societies, statistical tools to explain their composition are limited. We introduce a statistical framework fo…
"Predicting" after peeking into the future: Correcting a fundamental flaw in the SAOM -- TERGM comparison of Leifeld and Cranmer (2019)
Per Block, James Hollway, Christoph Stadtfeld +2
We review the empirical comparison of SAOMs and TERGMs by Leifeld and Cranmer (2019) in Network Science. We note that their model specification uses nodal covariates calculated fro…
Transitivity Correlation: Measuring Network Transitivity as Comparative Quantity
David Dekker, David Krackhardt, Tom A. B. Snijders
This paper proposes that common measures for network transitivity, based on the enumeration of transitive triples, do not reflect the theoretical statements about transitivity they…
Statistical Power in Longitudinal Network Studies
Christoph Stadtfeld, Tom A. B. Snijders, Christian Steglich +1
Longitudinal social network studies can easily suffer from insufficient statistical power. Studies that simultaneously investigate change of network ties and change of nodal attrib…