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Twitter (now widely referred to as X) provides a rich environment for applying Social Network Analysis to understand patterns of interaction, influence, and information diffusion among users. In this platform, individuals or organizations function as nodes, while relationships such as follows, mentions, replies, and retweets represent edges connecting these nodes. By constructing a network graph from these connections, researchers can visualize how communities form, how influential users emerge, and how conversations evolve over time. Metrics such as degree centrality help identify highly connected users who may act as influencers or information hubs, while betweenness ________ _________ _________ ______ _______ ___.
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