AVERAGE GEODESIC DISTANCE OF SIERPIŃSKI-TYPE NETWORKS

Cheng Zeng (), Yuke Huang () and Yumei Xue
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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

FRACTALS (fractals), 2022, vol. 30, issue 04, 1-8

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.

Keywords: Average Geodesic Distance; Small-World; Fractal Networks; Self-Similarity (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0218348X22500888

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