ERGMs on block models

Fuente: arXiv
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Main Author: Magnanini, Elena
Format: Preprint
Published: 2026
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author Magnanini, Elena
author_facet Magnanini, Elena
contents We extend the classical edge-triangle Exponential Random Graph Model (ERGM) to an inhomogeneous setting in which vertices carry types determined by an underlying partition. This leads to a block-structured ERGM where interaction parameters depend on vertex types. We establish a large deviation principle for the associated sequence of measures and derive the corresponding variational formula for the limiting free energy. In the ferromagnetic regime, where the parameters governing triangle densities are nonnegative, we reduce the variational problem to a scalar optimization problem, thereby identifying the natural block counterpart of the replica symmetric regime. Under additional restrictions on the parameters, comparable to the classical Dobrushin's uniqueness region, we prove uniqueness of the maximizer and derive a law of large numbers for the edge density.
format Preprint
id arxiv_https___arxiv_org_abs_2602_16604
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle ERGMs on block models
Magnanini, Elena
Probability
Mathematical Physics
05C80, 60F15
We extend the classical edge-triangle Exponential Random Graph Model (ERGM) to an inhomogeneous setting in which vertices carry types determined by an underlying partition. This leads to a block-structured ERGM where interaction parameters depend on vertex types. We establish a large deviation principle for the associated sequence of measures and derive the corresponding variational formula for the limiting free energy. In the ferromagnetic regime, where the parameters governing triangle densities are nonnegative, we reduce the variational problem to a scalar optimization problem, thereby identifying the natural block counterpart of the replica symmetric regime. Under additional restrictions on the parameters, comparable to the classical Dobrushin's uniqueness region, we prove uniqueness of the maximizer and derive a law of large numbers for the edge density.
title ERGMs on block models
topic Probability
Mathematical Physics
05C80, 60F15
url https://arxiv.org/abs/2602.16604