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Extended Lorenz majorization and frequencies of distances in an undirected network Cover

Extended Lorenz majorization and frequencies of distances in an undirected network

By: Leo Egghe  
Open Access
|Feb 2024

Abstract

Purpose

To contribute to the study of networks and graphs.

Design/methodology/approach

We apply standard mathematical thinking.

Findings

We show that the distance distribution in an undirected network Lorenz majorizes the one of a chain. As a consequence, the average and median distances in any such network are smaller than or equal to those of a chain.

Research limitations

We restricted our investigations to undirected, unweighted networks.

Practical implications

We are convinced that these results are useful in the study of small worlds and the so-called six degrees of separation property.

Originality/value

To the best of our knowledge our research contains new network results, especially those related to frequencies of distances.

DOI: https://doi.org/10.2478/jdis-2024-0007 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 1 - 10
Submitted on: Nov 25, 2023
Accepted on: Dec 28, 2023
Published on: Feb 6, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Leo Egghe, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.