Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Authors Philip Leifeld, Skyler J. Cranmer, Bruce A. Desmarais
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper Abstract The xergm package is an implementation of extensions to the exponential random graph model (ERGM). It acts as a meta-package for multiple constituent packages. One of these packages is btergm, which implements bootstrap methods for the temporal ERGM estimated by maximum pseudolikelihood. Here, we illustrate the temporal exponential random graph model and its implementation in the package btergm using data on international alliances and a longitudinally observed friendship network in a Dutch school.
Date of publication 2018
Code Programming Language R

Copyright Researcher 2022