Social Network Analysis (SNA) is the study of relationships and interactions among people, organizations, or other entities using graph theory. In SNA, nodes (vertices) represent entities, and edges (links) represent the relationships between them. It helps analyze the structure of social networks, identify influential users, detect communities, and understand how information spreads. SNA is widely used in social media analysis, recommendation systems, fraud detection, marketing, healthcare, cybersecurity, and business intelligence. It provides valuable insights into network behavior and supports better decision-making through the analysis of connected data.
SRI KRISHNA INSTITUTE OF TECHNOLOGY (SKIT) DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING(CS&E)