Social Network Analysis (SNA) is a powerful technique to analyze relationships between individuals, groups, or entities.Key concepts in SNA include nodes, edges, degree centrality, betweenness centrality, and clustering.Python with libraries like NetworkX and Pandas is commonly used for SNA programming.SNA has applications in marketing, security, epidemiology, sociology, and recommendation systems.