  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-evolution of multiple networks as well as networks
and behaviour. This paper extends the SAOM to the analysis of multiple network
panels through a random coefficient multilevel model, estimated with a Bayesian
approach. This is illustrated by a study of the dynamic interdependence of
friendship and minor delinquency, represented by the combination of a one-mode
and a two-mode network, using a sample of 81 school classes in the first year
of secondary school.
