Social Network Analysis (SNA) is a method used to study the relationships and interactions between individuals or groups within a network. By visualizing these connections, researchers can identify patterns, such as who is most influential or how information spreads. SNA is commonly applied in various fields, including sociology, psychology, and even business, to understand social structures and dynamics. In SNA, nodes represent the individuals or entities, while edges illustrate the connections between them. For example, in a social media context, users can be nodes, and their friendships or interactions can be edges. This analysis helps uncover insights about community behavior, collaboration, and the flow of information.