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 , the networks can be classified into three types, namely, , , and . All real world networks considered belong to the class of , which may be explained by the hierarchical properties.
- Received 29 August 2007
DOI:https://doi.org/10.1103/PhysRevE.77.045101
©2008 American Physical Society