  A collection of articles on the statistical modelling and inference of social
networks is analysed in a network fashion. The references of these articles are
used to construct a citation network data set, which is almost a directed
acyclic graph because only existing articles can be cited. A mixed membership
stochastic block model is then applied to this data set to soft cluster the
articles. The results obtained from a Gibbs sampler give us insights into the
influence and the categorisation of these articles.
