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Class of correlated random networks with hidden variables

Marian Boguna·Romualdo Pastor-Satorras
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Abstract

We study a class models of correlated random networks in which vertices are characterized by \textit{hidden variables} controlling the establishment of edges between pairs of vertices. We find analytical expressions for the main topological properties of these models as a function of the distribution of hidden variables and the probability of connecting vertices. The expressions obtained are checked by means of numerical simulations in a particular example. The general model is extended to describe a practical algorithm to generate random networks with an \textit{a priori} specified correlation structure. We also present an extension of the class, to map non-equilibrium growing networks to networks with hidden variables that represent the time at which each vertex was introduced in the system.

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Marian Boguna, Romualdo Pastor-Satorras. 2003-06-03. Class of correlated random networks with hidden variables. https://doi.org/10.1103/physreve.68.036112

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