sna is a collection of tools for social network analysis authored by Carter T. Butts. The package includes methods for calculating node and graph-level indices, structural distance and covariance, detecting structural equivalence, performing network regression, generating random graphs, and visualizing networks in 2D and 3D. The dataset's size, specific file formats, and last update date are not provided.
Use Cases
- Calculate centrality or clustering indices based on node and graph-level index tools
- Identify structurally similar actors in a network based on structural equivalence detection methods
- Model relationships between network structure and node attributes based on network regression tools
- Generate synthetic networks for simulation studies based on random graph generation methods
- Create visual representations of network topology based on 2D/3D network visualization tools
Strengths
- Authored by a known researcher in the field, Carter T. Butts.
- Description specifies a wide range of analytical functions, including indices, regression, and visualization.
Limitations
- Row count and data 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
- Carter T. Butts
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null