Social Network Analysis

Understanding Social Network Analysis

Social Network Analysis (SNA) is a methodology for investigating social structures through the use of network and graph theory. In Analyst's Notebook, SNA helps identify key individuals, groups, and relationships within complex networks.

Key Skills Covered

• Identifying central actors in a network
• Analyzing connection patterns
• Detecting subgroups and clusters
• Measuring network density and centrality
• Using SNA metrics (betweenness, closeness, degree)
• Visualizing network structures effectively
• Identifying bridges and cutpoints in networks

Applications in Intelligence Analysis

Social Network Analysis has numerous applications in intelligence work:

• Mapping criminal organizations and hierarchies
• Identifying key facilitators and brokers in networks
• Detecting hidden relationships and connections
• Prioritizing targets for investigation
• Understanding information flow in organizations
• Identifying vulnerabilities in network structures

Advanced SNA Techniques

As you become more proficient with Analyst's Notebook, you can apply more sophisticated SNA techniques:

• Ego network analysis
• Two-mode network analysis
• Temporal network analysis
• Combining SNA with geospatial analysis
• Using automated layout algorithms for large networks