THREE KEY PROPERTIES OF A SPECIAL CLASS OF EVOLVING NETWORKS BASED ON TOY-MODEL

L. Peng (), Y. Xue, Q. Zhang () and H. He ()
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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

FRACTALS (fractals), 2021, vol. 29, issue 07, 1-9

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.

Keywords: Self-Similar; Average Length Path; Clustering Coefficient; Degree Distribution (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218348X21502145

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