Modeling heterogeneity in random graphs through latent space models: a selective review
Statistics Theory
2014-09-26 v2 Methodology
Statistics Theory
Abstract
We present a selective review on probabilistic modeling of heterogeneity in random graphs. We focus on latent space models and more particularly on stochastic block models and their extensions that have undergone major developments in the last five years.
Cite
@article{arxiv.1402.4296,
title = {Modeling heterogeneity in random graphs through latent space models: a selective review},
author = {Catherine Matias and Stéphane Robin},
journal= {arXiv preprint arXiv:1402.4296},
year = {2014}
}