Decelle et al.'s partial-recovery threshold conjecture for the stochastic block model

Throughout, let G(n,a/n,b/n)G(n,a/n,b/n) be the two-community stochastic block model with two roughly equal-sized communities, within-community connection probability a/na/n, between-community connection probability b/nb/n, sparse parameters a,b=Θ(1)a,b=\Theta(1), and a>ba>b. Decelle et al.'s threshold conjecture. If

(ab)2>2(a+b),(a-b)^2>2(a+b),

then partial recovery in G(n,a/n,b/n)G(n,a/n,b/n) is possible, whereas if

(ab)2<2(a+b),(a-b)^2<2(a+b),

then partial recovery is information-theoretically impossible. The conjecture identifies the Kesten–Stigum threshold for partial recovery in the sparse symmetric two-community model; the source states that these conjectures have since been resolved.

Sources & referencesView supporting material

Primary source

Ankur Moitra, William Perry and Alexander S. Wein, “How Robust are Reconstruction Thresholds for Community Detection?”, arXiv:1511.01473 (2016).

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