@article{JSSv024i03,
title={ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks},
volume={24},
url={https://www.jstatsoft.org/index.php/jss/article/view/v024i03},
doi={10.18637/jss.v024.i03},
abstract={We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and inter-related, tasks involving exponential-family random graph models (ERGMs): estimation, simulation, and goodness of fit. More precisely, ergm has the capability of approximating a maximum likelihood estimator for an ERGM given a network data set; simulating new network data sets from a fitted ERGM using Markov chain Monte Carlo; and assessing how well a fitted ERGM does at capturing characteristics of a particular network data set.},
number={3},
journal={Journal of Statistical Software},
author={Hunter, David R. and Handcock, Mark S. and Butts, Carter T. and Goodreau, Steven M. and Morris, Martina},
year={2008},
pages={1–29}
}