@inproceedings{ccbb8e0422ac4e4996a73c6046c65b43,
title = "Why are so many networks disassortative?",
abstract = "A wide range of empirical networks - whether biological, technological, information-related or linguistic - generically exhibit important degree-degree anticorrelations (i.e., they are disassortative), the only exceptions being social ones, which tend to be positively correlated (assortative). Using an information-theory approach, we show that the equilibrium state of highly heterogeneous (scale-free) random networks is disassortative. This not only gives a parsimonious explanation to a long-standing question, but also provides a neutral model against which to compare experimental data and ascertain whether a given system is being driven from equilibrium by correlating mechanisms.",
keywords = "assortativity, correlated networks, Random graphs, Shannon entropy",
author = "Samuel Johnson and Torres, {Joaqu{\'i}n J.} and J. Marro and Mu{\~n}oz, {Miguel A.}",
year = "2011",
doi = "10.1063/1.3577649",
language = "English",
isbn = "9780735408876",
series = "AIP Conference Proceedings",
pages = "249--250",
booktitle = "Non-Equilibrium Statistical Physics Today - Proceedings of the 11th Granada Seminar on Computational and Statistical Physics",
note = "11th Granada Seminar on Computational and Statistical Physics ; Conference date: 13-09-2010 Through 17-09-2010",
}