On Exponential Random Graph Models with Dyadic Independence
Statistics Theory
2025-06-26 v1 Statistics Theory
Abstract
We show that the only exponential random graph model with n nodal parameters, dyads being independent, and the natural assumption of permutation-equivariant nodal parametrization is the \b{eta} model. In addition, we show that an exponential random graph model with similar assumptions but with fewer than n block parameters is the additive stochastic block model. We also provide similar results for directed networks
Cite
@article{arxiv.2506.20458,
title = {On Exponential Random Graph Models with Dyadic Independence},
author = {Kayvan Sadeghi},
journal= {arXiv preprint arXiv:2506.20458},
year = {2025}
}
Comments
13 pages