Decelle et al.'s partial-recovery threshold conjecture for the stochastic block model
Decelle et al.'s partial-recovery threshold conjecture for the stochastic block model
Throughout, let be the two-community stochastic block model with two roughly equal-sized communities, within-community connection probability , between-community connection probability , sparse parameters , and . Decelle et al.'s threshold conjecture. If
then partial recovery in is possible, whereas if
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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