174 citations · 190 across the 4 of their papers we have counts for
5 papers
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…
Analysing Networks of Networks
Johan Koskinen, Pete Jones, Darkhan Medeuov +3
We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the ex…
Bayesian Analysis of Social Influence
Johan Koskinen, Galina Daraganova
The network influence model is a model for binary outcome variables that accounts for dependencies between outcomes for units that are relationally tied. The basic influence model…
"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…
Maximum likelihood estimation for social network dynamics
Tom A. B. Snijders, Johan Koskinen, Michael Schweinberger
A model for network panel data is discussed, based on the assumption that the observed data are discrete observations of a continuous-time Markov process on the space of all direct…