Literature DB >> 16486026

Localization transition on complex networks via spectral statistics.

M Sade1, T Kalisky, S Havlin, R Berkovits.   

Abstract

The spectral statistics of complex networks are numerically studied. The features of the Anderson metal-insulator transition are found to be similar for a wide range of different networks. A metal-insulator transition as a function of the disorder can be observed for different classes of complex networks for which the average connectivity is small. The critical index of the transition corresponds to the mean field expectation. When the connectivity is higher, the amount of disorder needed to reach a certain degree of localization is proportional to the average connectivity, though a precise transition cannot be identified. The absence of a clear transition at high connectivity is probably due to the very compact structure of the highly connected networks, resulting in a small diameter even for a large number of sites.

Entities:  

Year:  2005        PMID: 16486026     DOI: 10.1103/PhysRevE.72.066123

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Power-law distribution of degree-degree distance: A better representation of the scale-free property of complex networks.

Authors:  Bin Zhou; Xiangyi Meng; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-15       Impact factor: 11.205

  1 in total

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