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THREE KEY PROPERTIES OF A SPECIAL CLASS OF EVOLVING NETWORKS BASED ON TOY-MODEL
Fractals ( IF 4.7 ) Pub Date : 2021-10-25 , DOI: 10.1142/s0218348x21502145
L. PENG 1 , Y. XUE 1 , Q. ZHANG 1 , H. HE 1
Affiliation  

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.

中文翻译:

基于玩具模型的一类特殊演化网络的三个关键特性

在现实世界中,许多网络具有不同长度尺度的自相似结构。在本文中,我们从确定性初始图提出了一系列基于玩具模型的不断增长的对称网络。我们旨在分析其拓扑属性,例如平均路径长度、聚类系数和度分布,使用迭代计算和递归方法。
更新日期:2021-10-25
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