An Axiom System for Feedback Centralities
Tomasz Wąs, Oskar Skibski
TL;DR
Addresses a gap in centrality theory by offering a unified axiomatic characterization for four classic feedback centralities: EV, Katz, SI, and PageRank. It introduces seven axioms and proves that each centrality is uniquely determined by a five-axiom subset, linking walk interpretations to the axioms. The results unify previously separate axiomatizations, clarify the relationships among the measures, and provide a principled basis for choosing a centrality in directed networks. The approach leverages graph constructions, proportional node combination, and a novel profit framework to establish uniqueness.
Abstract
In recent years, the axiomatic approach to centrality measures has attracted attention in the literature. However, most papers propose a collection of axioms dedicated to one or two considered centrality measures. In result, it is hard to capture the differences and similarities between various measures. In this paper, we propose an axiom system for four classic feedback centralities: Eigenvector centrality, Katz centrality, Seeley index, and PageRank. We prove that each of these four centrality measures can be uniquely characterized with a subset of our axioms. Our system is the first one in the literature that considers all four feedback centralities.
