A degree-based goodness-of-fit test for heterogeneous random graph models
Résumé
The degree variance has been proposed for many years to study the topology of a network. It can be used to assess the goodness-of-fit of the Erdös-Renyi model. In this paper, we prove the asymptotic normality of the degree variance under this model which enables us to derive a formal test. We generalize this result to the heterogeneous Erdös-Renyi model in which the edges have different respective probabilities to exist. For both models we study the power of the proposed goodness-of-fit test. We also prove the asymptotic normality under specific sparsity regimes. Both tests are illustrated on real networks from social sciences and ecology. Their performances are assessed via a simulation study.
Domaines
Statistiques [math.ST]Origine | Fichiers produits par l'(les) auteur(s) |
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