Stochastic Block Models and Reconstruction

Mathematics – Probability

Scientific paper

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Scientific paper

Consider the following {\em stochastic block model} of a random graph consisting of two clusters of size approximately n/2. The cross-class edge probability is a/n and the within-class probability is b/n. Decelle et al. conjectured a threshold for the algorithmic problem of reconstructing the hidden labels in a way that is correlated with the true partition. Their conjecture is that the threshold is (a - b)^2 = 2(a + b) which is exactly the threshold for the corresponding reconstruction problem on trees. We prove one side of this conjecture, i.e., that reconstruction is impossible when (a - b)^2 is at most 2(a + b). Moreover, we show that the stochastic block model is contiguous to an Erd\"os-Renyi model when (a - b)^2 < 2(a+b) and orthogonal to it when (a - b)^2 > 2(a+b).

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