How to cite

nwergm. Cite the package by repository and report the version that produced your results, as printed by nwergm version (for example “nwergm 1.3.5”). Cite the manual, which has a DOI:

Grund, T. U. (2026). nwergm: Exponential random graph models in Stata. Manual. Zenodo. https://doi.org/10.5281/zenodo.23661331

The DOI is the one of all versions of the manual, so it always leads to the latest manual. Source code and releases are at https://github.com/thomas-u-grund/nwergm.

Give the version printed by nwergm version: the operator terms and some other additions need version 1.1.0 or later.

The model and the software it follows. nwergm implements the ERGM framework and follows R’s ergm of the statnet project, so please also cite:

Hunter, D.R., Handcock, M.S., Butts, C.T., Goodreau, S.M., Morris, M. (2008). ergm: A package to fit, simulate and diagnose exponential-family models for networks. Journal of Statistical Software 24(3), 1-29.
Handcock, M.S., Hunter, D.R., Butts, C.T., Goodreau, S.M., Morris, M. (2008). statnet: Software tools for the representation, visualization, analysis and simulation of network data. Journal of Statistical Software 24(1), 1-11.

Depending on what you used, also cite the papers behind the method: Hunter and Handcock (2006) for the curved exponential family and the pseudolikelihood, Hunter (2007) for the geometrically weighted terms, Morris, Handcock and Hunter (2008) for the model terms and the TNT proposal, Hummel, Hunter and Handcock (2012) for the Monte Carlo maximum likelihood algorithm, and Handcock and Gile (2010) if your network has missing dyads. The references are listed in help nwergm.

The core. nwergm runs on the nwcommands core package; cite it as described in the documentation of the core (help nwcommands).