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Entropies of complex networks with hierarchically constrained topologies
Ginestra Bianconi1, Anthony C C Coolen, Conrad J Perez Vicente
1Abdus Salam International Center for Theoretical Physics, Strada Costiera 11, 34014 Trieste, Italy.
Abstract:
The entropy of a hierarchical network topology in an ensemble of sparse random networks, with "hidden variables" associated with its nodes, is the log-likelihood that a given network topology is present in the chosen ensemble. We obtain a general formula for this entropy, which has a clear interpretation in some simple limiting cases. The results provide keys with which to solve the general problem of "fitting" a given network with an appropriate ensemble of random networks.
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