Introduction
Social Network Analysis (SNA) is a quantitative methodology for studying social structures by mapping and analyzing relationships between entities (nodes) using concepts from graph theory. It identifies patterns of connection (edges) and uses metrics like centrality and density to understand network dynamics, information flow, influence, and behavior. SNA reveals how network structure impacts outcomes and helps in identifying key influencers, knowledge brokers, and structural vulnerabilities within organizations, communities, and other systems