Work

ergm.userterms: A Template Package for Extendingstatnet

Year: 2013

Type: article

Abstract: Exponential-family random graph models (ERGMs) represent a powerful and flexible class of models for the statistical analysis of networks. statnet is a suite of software packages that implement these models. This paper details how the capabilities for ERGM modeling can be expanded and customized by programming additional network statistics that may be included in ERGMs. We describe a template R package called ergm.userterms that can be modified for this purpose. It is designed to make this process as straightforward as possible. We also explain some of the internal workings of statnet that will help users develop their own network analysis capabilities.

Source: Journal of Statistical Software

DOI: 10.18637/jss.v052.i02

Authors: David R. Hunter, Steven M. Goodreau, Mark S. Handcock

Institutions: Pennsylvania State University, University of Washington, University of California, Los Angeles

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

Funders: National Institutes of Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development