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Self-affine fractals embedded in spectra of complex networks

Huijie Yang, Chuanyang Yin, Guimei Zhu, and Baowen Li
Phys. Rev. E 77, 045101(R) – Published 18 April 2008

Abstract

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 H0.5, which may be explained by the hierarchical properties.

  • Figure
  • Received 29 August 2007

DOI:https://doi.org/10.1103/PhysRevE.77.045101

©2008 American Physical Society

Authors & Affiliations

Huijie Yang1,2, Chuanyang Yin1,3, Guimei Zhu1,3, and Baowen Li1,4,*

  • 1Department of Physics and Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542
  • 2School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 3Department of Modern Physics, University of Science and Technology of China, Hefei Anhui 230026, China
  • 4NUS Graduate School for Integrative Sciences and Engineering, Singapore 117597, Republic of Singapore

  • *phylibw@nus.edu.sg

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Issue

Vol. 77, Iss. 4 — April 2008

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