Uniqueness of communities in regular stochastic block models

preprint2021arXivOpen access

Abstract

This paper studies the regular stochastic block model comprising \emph{several} communities: each of the kk non-overlapping communities, for k⩾3k \geqslant 3, possesses nn vertices, each of which has total degree dd. The values of the intra-cluster degrees (i.e.\ the number of neighbours of a vertex inside the cluster it belongs to) and the inter-cluster degrees (i.e.\ the number of neighbours of a vertex inside a cluster different from its own) are allowed to vary across clusters. We discuss two main results: the first compares the probability measure induced by our model with the uniform measure on the space of dd-regular graphs on knkn vertices, and the second establishes that the clusters, under rather weak assumptions, are unique asymptotically almost surely as n→∞n \rightarrow \infty.

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