Detecting a community in Random Networks

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Date/heure
Date(s) - 12/06/2015
11 h 00 min - 12 h 00 min

Catégories Pas de Catégories


We formalize the problem of detecting a community in a network into testing whether in a given (random) graph there is a subgraph that is unusually dense. We observe an undirected and unweighted graph on N nodes. Under the null hypothesis, the graph is a realization of an Erdös-Rényi graph with probability p0. Under the (composite) alternative, there is a subgraph of n nodes where the probability of connection is p1 > p0. We derive a detection lower bound for detecting such a subgraph in terms of N, n, p0, p1 and exhibit a test that achieves that lower bound. We do this both when p0 is known and unknown. We also consider the problem of testing in polynomial-time. As an aside, we consider the problem of detecting a clique, which is intimately related to the planted clique problem.

[https://www6.montpellier.inra.fr/mistea_eng/Members/List/VERZELEN-Nicolas]

Olivier CHABROL
Posts created 14

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