Literature

A short list, kept small on purpose. It names what to cite for the software and the methods papers each package follows. For the wider literature on each model, the Siena project keeps much longer lists: articles and applications.

About nwcommands and the models

• Grund, T. U. (2027). Network Analysis with Stata: Concepts, Methods, and Applications. Stata Press, College Station, TX. Forthcoming.
• Grund, T. U. (2026). nwsaom: Stochastic actor-oriented models in Stata. Manual. Zenodo (all versions). doi:10.5281/zenodo.23623807
• Grund, T. U. (2026). nwergm: Exponential random graph models in Stata. Manual. Zenodo. doi:10.5281/zenodo.23661331

How to cite each package is on the citing page.

Papers about the software

Current versions, as PDF files. The first two are under review, the other two are in preparation; the text may change before publication.

• Grund, T. U. nwcommands: Scalable and extensible network analysis in Stata. Under review. PDF
• Grund, T. U. nwplot: Flexible, publication-quality network visualization in Stata. Under review. PDF
• Grund, T. U. Native exponential-family random graph models in Stata (nwergm). In preparation. PDF
• Grund, T. U. Fast estimation of stochastic actor-oriented network models in Stata (nwsaom). In preparation. PDF

Methods papers behind the packages

nwsaom (stochastic actor-oriented models)

• Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics. Sociological Methodology 31(1), 361-395.
• Steglich, C., Snijders, T. A. B. and Pearson, M. (2010). Dynamic networks and behavior: separating selection from influence. Sociological Methodology 40(1), 329-393.
• Koskinen, J. H. and Snijders, T. A. B. (2007). Bayesian inference for dynamic social network data. Journal of Statistical Planning and Inference 137(12), 3930-3938.
• Ripley, R. M., Snijders, T. A. B., Boda, Z., Voros, A. and Preciado, P. Manual for RSiena. University of Oxford. The reference implementation that nwsaom is compared with.

nwergm (exponential random graph models)

• Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M. and Morris, M. (2008). ergm: a package to fit, simulate and diagnose exponential-family models for networks. Journal of Statistical Software 24(3), 1-29. doi:10.18637/jss.v024.i03
• Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M. and Morris, M. (2008). statnet: software tools for the representation, visualization, analysis and simulation of network data. Journal of Statistical Software 24(1), 1-11.
• Krivitsky, P. N. and Handcock, M. S. (2014). A separable model for dynamic networks. Journal of the Royal Statistical Society: Series B 76(1), 29-46.

nwdynam (dynamic network actor models)

• Stadtfeld, C., Hollway, J. and Block, P. (2017). Dynamic network actor models: investigating coordination ties through time. Sociological Methodology 47(1), 1-40. doi:10.1177/0081175017709295
• Stadtfeld, C. and Block, P. (2017). Interactions, actors, and time: dynamic network actor models for relational events. Sociological Science 4, 318-352. doi:10.15195/v4.a14

nwrem (relational event models)

• Butts, C. T. (2008). A relational event framework for social action. Sociological Methodology 38(1), 155-200.

Using nwcommands in your work

We would like to list work that used nwcommands, nwsaom, nwergm, nwdynam or nwrem. To add yours, open a post in Show and tell under Discussions of the package you used, or open an issue if you prefer:

• nwcommands, nwsaom, nwergm, nwdynam, nwrem.

Please give the full reference, a link (DOI or preprint), the package and version, and one sentence on what you modeled. The list will be added to as submissions arrive; there are no entries yet.