Self-affine Fractals Embedded in Spectra of Complex Networks

Bibliographic Details
Title: Self-affine Fractals Embedded in Spectra of Complex Networks
Authors: Yang, Huijie, Yin, Chuanyang, Zhu, Guimei, Li, Baowen
Publication Year: 2008
Collection: Condensed Matter
Physics (Other)
Subject Terms: Physics - Physics and Society, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics
More Details: The scaling properties of spectra of real world complex networks are studied by using the wavelet transform. It is found that the spectra of networks are multifractal. According to the values of the long-range correlation exponent, the Hust exponent $H$, the networks can be classified into three types, namely, $H>0.5$, $H=0.5$ and $H<0.5$. All real world networks considered belong to the class of $H \ge 0.5$, which may be explained by the hierarchical properties.
Comment: 4 pages, 1 figure, accepted by Phys. Rev. E as rapid comm
Document Type: Working Paper
DOI: 10.1103/PhysRevE.77.045101
Access URL: http://arxiv.org/abs/0803.4088
Accession Number: edsarx.0803.4088
Database: arXiv
More Details
DOI:10.1103/PhysRevE.77.045101