The new topic model we propose therefore takes association links into account so that a document's topic distribution is influenced by the topic distributions of its neighbors.
we propose a joint model that uses link structure to define clusters (cliques) of documents and, following the intuition that documents in the same cluster are likely to have similar topic distributions, assigns each cluster its own separate Dirichlet prior over the cluster's topic distribution.