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Non-Homogeneous Fractal Hierarchical Weighted Networks

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  • Yujuan Dong
  • Meifeng Dai
  • Dandan Ye

Abstract

A model of fractal hierarchical structures that share the property of non-homogeneous weighted networks is introduced. These networks can be completely and analytically characterized in terms of the involved parameters, i.e., the size of the original graph Nk and the non-homogeneous weight scaling factors r1, r2, · · · rM. We also study the average weighted shortest path (AWSP), the average degree and the average node strength, taking place on the non-homogeneous hierarchical weighted networks. Moreover the AWSP is scrupulously calculated. We show that the AWSP depends on the number of copies and the sum of all non-homogeneous weight scaling factors in the infinite network order limit.

Suggested Citation

  • Yujuan Dong & Meifeng Dai & Dandan Ye, 2015. "Non-Homogeneous Fractal Hierarchical Weighted Networks," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-13, April.
  • Handle: RePEc:plo:pone00:0121946
    DOI: 10.1371/journal.pone.0121946
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