random graph models
Random graph models refer to mathematical frameworks used to generate graphs with certain properties, such as random connections between nodes, based on predefined rules or probability distributions. These models are often employed to study and analyze real-world networks, such as social networks or communication networks, by providing a way to simulate and understand their structural and behavioral characteristics.
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