English

An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model

Probability 2018-11-27 v3 Machine Learning Social and Information Networks Machine Learning

Abstract

We consider the Degree-Corrected Stochastic Block Model (DC-SBM): a random graph on nn nodes, having i.i.d. weights (ϕu)u=1n(\phi_u)_{u=1}^n (possibly heavy-tailed), partitioned into q2q \geq 2 asymptotically equal-sized clusters. The model parameters are two constants a,b>0a,b > 0 and the finite second moment of the weights Φ(2)\Phi^{(2)}. Vertices uu and vv are connected by an edge with probability ϕuϕvna\frac{\phi_u \phi_v}{n}a when they are in the same class and with probability ϕuϕvnb\frac{\phi_u \phi_v}{n}b otherwise. We prove that it is information-theoretically impossible to estimate the clusters in a way positively correlated with the true community structure when (ab)2Φ(2)q(a+b)(a-b)^2 \Phi^{(2)} \leq q(a+b). As by-products of our proof we obtain (1)(1) 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 numbers for local-functionals and (2)(2) that long-range interactions are weak in (power-law) DC-SBM's.

Keywords

Cite

@article{arxiv.1511.00546,
  title  = {An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model},
  author = {Lennart Gulikers and Marc Lelarge and Laurent Massoulié},
  journal= {arXiv preprint arXiv:1511.00546},
  year   = {2018}
}

Comments

Appeared in Annals of Applied Probability

R2 v1 2026-06-22T11:34:48.338Z