I am currently analyzing collaboration networks in science. I have used SBM and ERGM to model a cumulative snapshot of the network. I know these methods alone are not sufficient to accurately model my network since it is a longitudinal network. I heard of Stochastic Actor-Based (or actor-oriented) Block Modeling (SABM) which can model my network taking into account it's dynamics in time. I have read some papers on it but have been unable to find a tutorial to guide me through its successful application on my data. Can anyone help?