# Analytical maximum-likelihood method to detect patterns in real networks

@article{Squartini2011AnalyticalMM, title={Analytical maximum-likelihood method to detect patterns in real networks}, author={T. Squartini and D. Garlaschelli}, journal={arXiv: Data Analysis, Statistics and Probability}, year={2011} }

In order to detect patterns in real networks, randomized graph ensembles that preserve only part of the topology of an observed network are systematically used as fundamental null models. However, their generation is still problematic. The existing approaches are either computationally demanding and beyond analytic control, or analytically accessible but highly approximate. Here we propose a solution to this long-standing problem by introducing an exact and fast method that allows to obtain… Expand

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