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Average Geodesic Distance Of Sierpiåƒski-Type Networks

Author

Listed:
  • CHENG ZENG

    (School of Mathematics and Information Science, Shandong Technology and Business University, Yantai, Shandong Province 264003, P. R. China)

  • YUKE HUANG

    (��School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China)

  • YUMEI XUE

    (��School of Mathematics and System Science, Beihang University, Beijing 100191, P. R. China)

Abstract

The well-known Sierpiński square is a fractal generated by iterated function system (IFS). In this paper, we focus on a class of fractal networks created by IFS. We show a universal approach to solve the average geodesic distance of these fractal networks.

Suggested Citation

  • Cheng Zeng & Yuke Huang & Yumei Xue, 2022. "Average Geodesic Distance Of Sierpiåƒski-Type Networks," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(04), pages 1-8, June.
    • Handle: RePEc:wsi:fracta:v:30:y:2022:i:04:n:s0218348x22500888
    DOI: 10.1142/S0218348X22500888
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    Cited by:

    1. Lu, Ying & Xu, Jiajun & Xi, Lifeng, 2023. "Fractal version of hyper-Wiener index," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

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