Network representation models entities and their relationships as nodes and edges, enabling analysis of complex systems like social networks or supply chains. It powers pathfinding, clustering, and influence mapping. Data scientists, engineers, and analysts benefit by uncovering hidden patterns, optimizing routes, and predicting behavior across interconnected data.
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