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graph-theorycomplex-networks

Generative Models VS. Configuration Models

How should I explain the difference between Generative Models and Configuration Models in Complex Networks in simple terms.

Solution

  • A generative model is a statistical model of the type P(G|t) that outputs a degree distribution based on its form and parameters [source] whereas a configuration model is a sequence of nodes with a fixed degree, that you can then randomly connect to create a network [source].

    So you can use a generative model to create configuration models but you can't necessarily infer the generative model from the configuration model.