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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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    References listed on IDEAS

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    1. Carletti, Timoteo & Righi, Simone, 2010. "Weighted Fractal Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2134-2142.
    2. Dai, Meifeng & Chen, Dandan & Dong, Yujuan & Liu, Jie, 2012. "Scaling of average receiving time and average weighted shortest path on weighted Koch networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 6165-6173.
    3. Zhongzhi Zhang & Shuigeng Zhou & Zhan Su & Tao Zou & Jihong Guan, 2008. "Random Sierpinski network with scale-free small-world and modular structure," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 65(1), pages 141-147, September.
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