Exponential random graph model parameter estimation for very large directed networks

1 code implementation • 17 Apr 2019 • Alex Stivala, Garry Robins, Alessandro Lomi

In the case of undirected networks, snowball sampling can be used to find ERGM parameter estimates of larger networks via network samples, and recently published improvements in ERGM network distribution sampling and ERGM estimation algorithms have allowed ERGM parameter estimates of undirected networks with over one hundred thousand nodes to be made.

Methodology Applications

Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data

2 code implementations • 28 Feb 2018 • Maksym Byshkin, Alex Stivala, Antonietta Mira, Garry Robins, Alessandro Lomi

We demonstrate the performance of the EE algorithm in the context of exponential random graphmodels (ERGMs) a family of statistical models commonly used in empirical research based on network data observed at a single period in time.