Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42540
Title: Extended Lorenz majorization and frequencies of distances in an undirected network
Authors: EGGHE, Leo 
Issue Date: 2024
Publisher: SCIENDO
Source: Journal of Data and Information Science, 9 (1) , p. 1 -10
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.
Notes: Egghe, L (corresponding author), Hasselt Univ, Diepenbeek, Belgium.
leo.egghe@uhasselt.be
Keywords: majorization;Lorenz curves;networks;shortest path distance;graphs
Document URI: http://hdl.handle.net/1942/42540
ISSN: 2096-157X
e-ISSN: 2543-683X
DOI: 10.2478/jdis-2024-0007
ISI #: 001162412500001
Rights: 2024 Leo Egghe. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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