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Condensed Matter > Disordered Systems and Neural Networks

Title: Spectral properties of complex networks

Abstract: 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
Comments: (11 pages)
Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech)
Cite as: arXiv:0804.1744 [cond-mat.dis-nn]
  (or arXiv:0804.1744v1 [cond-mat.dis-nn] for this version)

Submission history

From: Ginestra Bianconi [view email]
[v1] Thu, 10 Apr 2008 16:04:32 GMT (7kb)