Statnet: An Integrated Suite of R Packages for Statistical Network Analysis

Statnet is a collection of R packages for statistical network analysis designed to work together through shared data representations and API design. The integrated suite provides tools for the representation, visualization, analysis, and simulation of many different forms of network data. It is authored by Mark S. Handcock and maintained by the statnet project team.

Use Cases

• Statistical modeling of network structure based on the suite's analysis tools
• Simulating network dynamics and diffusion processes based on the simulation capabilities
• Visualizing complex relational data based on the integrated visualization tools
• Representing and analyzing various network data forms mentioned in the description

Strengths

• Provides an integrated set of tools designed to work together through a common API
• Covers multiple stages of network analysis workflow: representation, visualization, analysis, and simulation
• Includes tutorials and documentation hosted on the project's GitHub wiki

Limitations

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

Provenance

Source

Mark S. Handcock and the statnet project

Collection Method

Developed as a collection of R packages for statistical network analysis.

Time Range

Temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.