sna-analysis

What problem does it solve?

Social network research often suffers from unclear structure and weak evidence, making it hard to identify key actors, hidden communities, and bridging roles in relational datasets.

Core Features & Use Cases

• Network construction: Build nodes and edges from relation datasets to create an analyzable network.
• Centrality analysis: Identify influential or critical actors using standard network metrics.
• Community detection & structural hole analysis: Detect clusters and reveal bridging positions that connect otherwise separated groups.
• Network visualization: Produce interpretable visual outputs to communicate findings to others.
• Use Case: For example, a researcher can analyze collaboration relationships among organizations to find the most central institutions, uncover sub-communities, and locate structural holes that indicate potential brokerage opportunities.

Quick Start

Use the sna-analysis skill to analyze the provided social network edges and return the main centrality results, detected communities, structural hole candidates, and a visualization summary.