Diamond Hierarchical Network with Discrete, Unrelated, Self-Similar and Fractal Feature

In this paper, a deterministic network called diamond hierarchical network (DHN) is first introduced.The topological properties of the network such as degree distribution, clustering coefficient, average path length and degree correlation are calculated analytically.The scaling of the average path length is the exponential growth of the total number of network nodes, the network does not have the nature of small-world.A smallworld diamond hierarchical network (SWDHN) is defined according to the diamond hierarchical network, some basic properties of the network are studied, and the small-world phenomenon of SWDHN arises.Box dimension and fractality of DHN and SWDHN are considered.

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Publication Details

Journal
Research Review
Published
2025-08-04
DOI
https://doi.org/10.52845/cs/2025-5-3-78
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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article

Diamond Hierarchical Network with Discrete, Unrelated, Self-Similar and Fractal Feature

Min Wang
Research Review
Neural Networks and Applications
article

Diamond Hierarchical Network with Discrete, Unrelated, Self-Similar and Fractal Feature

Min Wang
article en

Abstract

In this paper, a deterministic network called diamond hierarchical network (DHN) is first introduced.The topological properties of the network such as degree distribution, clustering coefficient, average path length and degree correlation are calculated analytically.The scaling of the average path length is the exponential growth of the total number of network nodes, the network does not have the nature of small-world.A smallworld diamond hierarchical network (SWDHN) is defined according to the diamond hierarchical network, some basic properties of the network are studied, and the small-world phenomenon of SWDHN arises.Box dimension and fractality of DHN and SWDHN are considered.

Research Review
Openalex Percentile: Top 90%
Neural Networks and Applications
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