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arXiv · 2607.16377

A Centrality Measure Using Magnitude Homology

Abstract

The magnitude of a metric space constitutes an expressive invariant that subsumes numerous different geometrical-topological invariants. Building on recent advances in magnitude homology, i.e., a bigraded homology theory that recovers the magnitude, we develop a novel local measure of the centrality or importance of nodes in a graph. Our measure is inspired by the concept of relative homology as it considers the change in magnitude homology when removing a vertex. We show that our proposed measure satisfies several properties a centrality measure is reasonably expected to respect and demonstrate that we introduce a new perspective on centrality by comparing to several established centrality measures.

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BibTeXRIS

Nadja Häusermann, Bastian Rieck. 2026-07-17. A Centrality Measure Using Magnitude Homology. https://arxiv.org/abs/2607.16377

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