 Maximum-entropy random graph model

The Maximum-entropy random graph model is a statistical approach used to generate random graphs that capture specific characteristics or properties of observed graphs while maintaining maximum randomness under these constraints. The idea behind this model is to create a graph that fulfills certain defined constraints while maximizing the entropy of the graph's structure, thereby ensuring that it is as unbiased as possible with respect to the specified properties.