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Three Key Properties Of A Special Class Of Evolving Networks Based On Toy-Model

Author

Listed:
  • L. PENG

    (School of Mathematical Science, Beihang University, Beijing 100083, P. R. China)

  • Y. XUE

    (School of Mathematical Science, Beihang University, Beijing 100083, P. R. China)

  • Q. ZHANG

    (School of Mathematical Science, Beihang University, Beijing 100083, P. R. China)

  • H. HE

    (School of Mathematical Science, Beihang University, Beijing 100083, P. R. China)

Abstract

In real world, many networks have self-similar structures at different length scales. In this paper, we propose a family of growing symmetrical networks based on toy-model from a deterministic initial graph. We aim to analyze its topological properties, such as the average path length, clustering coefficient and degree distribution, which uses iterative calculations and recursive methods.

Suggested Citation

  • L. Peng & Y. Xue & Q. Zhang & H. He, 2021. "Three Key Properties Of A Special Class Of Evolving Networks Based On Toy-Model," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(07), pages 1-9, November.
  • Handle: RePEc:wsi:fracta:v:29:y:2021:i:07:n:s0218348x21502145
    DOI: 10.1142/S0218348X21502145
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