A comparison of centrality measures and their role in controlling the spread in epidemic networks
File(s)
Accepted version
Author(s)
Type
Journal Article
Abstract
The ranking of nodes in a network according to their centrality or ``importance'' is a classic problem that has attracted the interest of different scientific communities in the last decades. The COVID-19 pandemic has recently rejuvenated the interest in this problem, as the ranking may be used to decide who should be tested, or vaccinated, first, in a population of asymptomatic individuals. In this paper, we review classic methods for node ranking and compare their performance in a benchmark network that considers the community-based structure of society. The outcome of the ranking procedure is then used to decide which individuals should be tested, and possibly quarantined, first. Finally, we also review the extension of these ranking methods to weighted graphs and explore the importance of weights in a contact network by providing a toy model and comparing node rankings for this case in the context of disease spread.
Date Issued
2024-06-01
Date Acceptance
2023-02-11
Citation
International Journal of Control, 2024, 97 (6), pp.1325-1340
ISSN
0020-7179
Publisher
Taylor and Francis Group
Start Page
1325
End Page
1340
Journal / Book Title
International Journal of Control
Volume
97
Issue
6
Copyright Statement
Copyright © 2023 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Control on 09/05/2023, available at: https://doi.org/10.1080/00207179.2023.2204969
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000984814100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
ALGEBRAIC CONNECTIVITY
Automation & Control Systems
centrality measures
dynamic systems
DYNAMICS
EIGENVALUE
graph theory
KEMENYS CONSTANT
Network science
RANDOM-WALK CENTRALITY
Science & Technology
Technology
Publication Status
Published
Date Publish Online
2023-05-09