2014Unpublished venueRequires access

A stable betweenness centrality measure in networks

Santiago Segarra, Alejandro Ribeiro

Open publisher page 18 citations

Abstract

This paper presents a formal definition of stability for node centrality measures in networks and shows that the well-known betweenness centrality is not stable with respect to that metric. An alternative definition that preserves the same centrality notion while satisfying this stability criterion is then introduced. The practical implications of stability are explored by studying the behavior of the traditional as well as the alternative stable betweenness centrality in both, synthetic random networks, and the network of interactions between sectors of the United States economy.

About this research paper

What this paper is about

This paper presents a formal definition of stability for node centrality measures in networks and shows that the well-known betweenness centrality is not stable with respect to that metric. An alternative definition that preserves the same centrality notion while satisfying this stability criterion is then introduced. The practical implications of stability are explored by studying the behavior of the traditional as well as the alternative stable betweenness centrality in both, synthetic random networks, and the network of interactions between sectors of the United States economy.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a formal definition of stability for node centrality measures in networks and shows that the well-known betweenness centrality is not stable with respect to that metric. An alternative definition that preserves the same centrality notion while satisfying this stability criterion is then introduced. The practical implications of stability are explored by studying the behavior of the traditional as well as the alternative stable betweenness centrality in both, synthetic random networks, and the network of interactions between sectors of the United States economy.

Key concepts: Betweenness centrality, Centrality, Metric (unit), Stability (learning theory), Node (physics), Computer science, Katz centrality, Network science

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