Bringing order to network centrality measures

We introduce a quantitative method to compare arbitrary pairs of graph centrality measures, based on the ordering of vertices induced by them. The proposed method is conceptually simple, mathematically elegant, and allows for a quantitative restatement of many conjectures that were previously cumbersome to formalize. Moreover, it produces an approximation scheme useful for network scientists. We explore some of these uses and formulate new conjectures that are of independent interest.

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Publication Details

Journal
ArXiv.org
Published
2026-01-21
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Bringing order to network centrality measures

G. Exarchakos, O. Nagy, M. Pandey, R. van der Hofstad
ArXiv.org
Complex Network Analysis Techniques
article

Bringing order to network centrality measures

G. Exarchakos, O. Nagy, M. Pandey, R. van der Hofstad
article en

Abstract

We introduce a quantitative method to compare arbitrary pairs of graph centrality measures, based on the ordering of vertices induced by them. The proposed method is conceptually simple, mathematically elegant, and allows for a quantitative restatement of many conjectures that were previously cumbersome to formalize. Moreover, it produces an approximation scheme useful for network scientists. We explore some of these uses and formulate new conjectures that are of independent interest.

ArXiv.org
Universiteit Leiden, Technische Universiteit Eindhoven, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 75%
Complex Network Analysis Techniques
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Bringing order to network centrality measures — G. Exarchakos, O. Nagy, et al. · ArXiv.org (2026) | TGRS Research Map | TGRS