title: Shannon and von Neumann entropy of random networks with heterogeneous expected degree.
abstract: Entropic measures of complexity are able to quantify the information encoded in complex network structures. Several entropic measures have been proposed in this respect. Here we study the relation between the Shannon entropy and the von Neumann entropy of networks with given expected degree sequence. We find in different examples of network topologies that when the degree distribution contains some heterogeneity, an intriguing correlation emerges between the two entropic quantities. This results seems to suggest that heterogeneity in the expected degree distribution is implying an equivalence between a quantum and a classical description of networks, which respectively corresponds to the von Neumann and the Shannon entropy.
authors.affiliation: Technische Universität Berlin, Sek. H 52, Straße des 17. Juni 135, D-10623 Berlin, Germany.
authors.forename: Kartik
authors.initials: K
authors.lastname: Anand
authors.forename: Ginestra
authors.initials: G
authors.lastname: Bianconi
authors.forename: Simone
authors.initials: S
authors.lastname: Severini
mesh_terms: D019277:Entropy; D008962:Models, Theoretical; D011789:Quantum Theory; D013269:Stochastic Processes