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Social Network Analysis

Social Network Analysis (SNA) is a systematic approach to mapping and measuring relationships and information flows within a network. It involves analyzing the nodes (individuals or groups) and the links (relationships or flows) between them. SNA utilizes visual and mathematical methods to gain insights into the structure, dynamics, and influence patterns within a social network. It helps uncover hidden patterns, identify key influencers, and understand the overall network behavior. By examining network metrics, such as centrality, clustering, and connectivity, SNA enables a deeper understanding of how information, knowledge, and influence are shared across individuals, organizations, and digital entities. Through SNA, organizations can optimize collaboration, improve communication, and make data-driven decisions based on the underlying social relationships in their network.
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