TY - JOUR
T1 - A comparison of centrality measures and their role in controlling the spread in epidemic networks
AU - Dudkina, Ekaterina
AU - Bin, Michelangelo
AU - Breen, Jane
AU - Crisostomi, Emanuele
AU - Ferraro, Pietro
AU - Kirkland, Steve
AU - Mareček, Jakub
AU - Murray-Smith, Roderick
AU - Parisini, Thomas
AU - Stone, Lewi
AU - Yilmaz, Serife
AU - Shorten, Robert
N1 - Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Network science
KW - centrality measures
KW - dynamic systems
KW - graph theory
UR - http://www.scopus.com/inward/record.url?scp=85158953774&partnerID=8YFLogxK
U2 - 10.1080/00207179.2023.2204969
DO - 10.1080/00207179.2023.2204969
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AN - SCOPUS:85158953774
SN - 0020-7179
VL - 97
SP - 1325
EP - 1340
JO - International Journal of Control
JF - International Journal of Control
IS - 6
ER -
