Social Network Analysis (SNA) is an interdisciplinary method used to analyze social structures through the use of networks and graph theory. It explores how individuals or groups interact and the significance of these interactions within various contexts. SNA visualizes relationships, identifies influential nodes (individuals or groups), and assesses how information flows between different entities. Its applications extend across fields such as sociology, psychology, computer science, and information systems, providing valuable insights into social dynamics, collaboration patterns, and the diffusion of innovations.