An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model
Lennart Gulikers, Marc Lelarge, Laurent Massouli\'e

TL;DR
This paper proves an information-theoretic impossibility of accurately reconstructing communities in the Degree-Corrected Stochastic Block Model under certain parameter conditions, highlighting fundamental limits of community detection.
Contribution
It establishes a sharp threshold for the impossibility of community detection in DC-SBM, extending understanding of limits in graph clustering models.
Findings
Reconstruction is impossible when (a-b)^2 (2) q(a+b).
Provides a coupling result for local neighborhoods in DC-SBM.
Shows weak long-range interactions in power-law DC-SBM.
Abstract
We consider the Degree-Corrected Stochastic Block Model (DC-SBM): a random graph on nodes, having i.i.d. weights (possibly heavy-tailed), partitioned into asymptotically equal-sized clusters. The model parameters are two constants and the finite second moment of the weights . Vertices and are connected by an edge with probability when they are in the same class and with probability otherwise. We prove that it is information-theoretically impossible to estimate the clusters in a way positively correlated with the true community structure when . As by-products of our proof we obtain a precise coupling result for local neighbourhoods in DC-SBM's, that we use in a follow up paper [Gulikers et al., 2017] to establish a law of large…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Complex Network Analysis Techniques
