Betweenness Centrality is not a Network Resilience Metric

Betweenness centrality measures the importance of a link or node in a network based on how often it falls on the shortest path between other nodes. It was originally introduced in social network analysis, where it is interpreted as the ability an actor has to moderate communication between others in the network. In transportation, it is often used as a measure of the resilience impact of a particular link. In this article, I argue that betweenness centrality is not a theoretically valid measure of resilience, and provide hypothetical networks where it clearly fails to identify resilience issues.

Authors

Institutions

Publication Details

Journal
Findings
Published
2026-03-16
DOI
https://doi.org/10.32866/001c.159015
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Betweenness Centrality is not a Network Resilience Metric

Matthew Conway
Findings
Complex Network Analysis Techniques
article

Betweenness Centrality is not a Network Resilience Metric

Matthew Conway
article en

Abstract

Betweenness centrality measures the importance of a link or node in a network based on how often it falls on the shortest path between other nodes. It was originally introduced in social network analysis, where it is interpreted as the ability an actor has to moderate communication between others in the network. In transportation, it is often used as a measure of the resilience impact of a particular link. In this article, I argue that betweenness centrality is not a theoretically valid measure of resilience, and provide hypothetical networks where it clearly fails to identify resilience issues.

Findings
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 19%
Complex Network Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.