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Fractal version of average Fermat distance on some small-world hierarchical networks.

Authors :
Peng, Lulu
Chen, Dirong
Zeng, Cheng
Xue, Yumei
He, Huixia
Source :
International Journal of Modern Physics C: Computational Physics & Physical Computation. Aug2024, p1. 21p. 10 Illustrations.
Publication Year :
2024

Abstract

Fermat–Wiener index based on topological Wiener index is the total sum of Fermat distance over all the triplets for vertices. In this paper, we construct a class of hierarchical graphs based on hierarchical product generalized from Cartesian product. We study some critical properties of the hierarchical networks by investigating its topological indices. Applying the finite pattern method, we analytically deduce the dominant term of average Fermat distance and obtain its asymptotic formula, which implies small-world property. We finally exhibit a close connection between Fermat–Wiener index and related graph invariants like average geodesic distance, Wiener index and eigenvalues of Laplacian matrix. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01291831
Database :
Academic Search Index
Journal :
International Journal of Modern Physics C: Computational Physics & Physical Computation
Publication Type :
Academic Journal
Accession number :
178839983
Full Text :
https://doi.org/10.1142/s0129183124501894