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Stochastic Block Models and Reconstruction

2012/02/07 by Elchanan Mossel, Mossel, Elchanan, Joe Neeman +3 · 19 citations
Computer Science · Mathematics · #05C80 #Combinatorics (math.CO) #FOS: Mathematics #FOS: Physical sciences #Markov Chains and Monte Carlo Methods #Mathematical Physics (math-ph) #Probability (math.PR) #Random Matrices and Applications #Topological and Geometric Data Analysis

paper · pdf · doi:10.48550/arxiv.1202.1499

openalex publication_date 2012/02/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The planted partition model (also known as the stochastic blockmodel) is a classical cluster-exhibiting random graph model that has been extensively studied in statistics, physics, and computer science. In its simplest form, the planted partition model is a model for random graphs on n nodes with two equal-sized clusters, with an between-class edge probability of q and a within-class edge probability of p. Although most of the literature on this model has focused on the case of increasing degrees (ie. pn, qn → ∞ as n → ∞), the sparse case p, q = O(1/n) is interesting both from a mathematical and an applied point of view. A striking conjecture of Decelle, Krzkala, Moore and Zdeborová based on deep, non-rigorous ideas from statistical physics gave a precise prediction for the algorithmic threshold of clustering in the sparse planted partition model. In particular, if p = a/n and q = b/n, then Decelle et al. conjectured that it is possible to cluster in a way correlated with the true partition if (a - b)2 > 2(a + b), and impossible if (a - b)2 < 2(a + b). By comparison, the best-known rigorous result is that of Coja-Oghlan, who showed that clustering is possible if (a - b)2 > C (a + b) for some sufficiently large C. We prove half of their prediction, showing that it is indeed impossible to cluster if (a - b)2 < 2(a + b). Furthermore we show that it is impossible even to estimate the model parameters from the graph when (a - b)2 < 2(a + b); on the other hand, we provide a simple and efficient algorithm for estimating a and b when (a - b)2 > 2(a + b). Following Decelle et al, our work establishes a rigorous connection between the clustering problem, spin-glass models on the Bethe lattice and the so called reconstruction problem. This connection points to fascinating applications and open problems.

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