ergm: Tools for Exponential-Family Random Graph Model Analysis

An integrated set of tools for analyzing and simulating networks using exponential-family random graph models (ERGMs). The package is part of the Statnet suite for network analysis and is authored by Mark S. Handcock. It is described in peer-reviewed publications from the Journal of Statistical Software.

Use Cases

• Fit statistical models to network data based on the exponential-family random graph model framework.
• Simulate synthetic networks to test hypotheses or generate benchmark data based on ERGM specifications.
• Diagnose model fit and convergence for network analysis projects.
• Analyze social, biological, or information networks using the integrated tools in the Statnet suite.

Strengths

• Package is part of the established Statnet suite for network analysis.
• Methodology is documented in at least two peer-reviewed journal articles.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Mark S. Handcock

Collection Method

Software package for statistical network modeling.