Self-affine Fractals Embedded in Spectra of Complex Networks

Details Self-affine Fractals Embedded in Spectra of Complex Networks Self-affine Fractals Embedded in Spectra of Complex Networks

2008-03-28

arxiv.org/abs/0803.4088v1

Physics

Physics and Society

4 pages, 1 figure, accepted by Phys. Rev. E as rapid comm

Scientific paper

10.1103/PhysRevE.77.045101

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.

Affiliated with

Also associated with

No associations

Rating

Self-affine Fractals Embedded in Spectra of Complex Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Self-affine Fractals Embedded in Spectra of Complex Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-affine Fractals Embedded in Spectra of Complex Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-173827