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Maximum-entropy random graph model
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Maximum-entropy random graph models are random graph models used to study complex networks subject to the principle of maximum entropy under a set of structural constraints,[1] which may be global, distributional, or local.
- ^ Park, Juyong; M.E.J. Newman (2004-05-25). "The statistical mechanics of networks". arXiv:cond-mat/0405566.
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