Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2008-04-10
Physics
Condensed Matter
Disordered Systems and Neural Networks
(11 pages)
Scientific paper
We derive the spectral properties of adjacency matrix of complex networks and of their Laplacian by the replica method combined with a dynamical population algorithm. By assuming the order parameter to be a product of Gaussian distributions, the present theory provides a solution for the non linear integral equations for the spectra density in random matrix theory of the spectra of sparse random matrices making a step forward with respect to the effective medium approximation (EMA) . We extend these results also to weighted networks with weight-degree correlations
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