A comparison of centrality measures and their role in controlling the spread in epidemic networks-Reference-Cited by-同舟云学术

A comparison of centrality measures and their role in controlling the spread in epidemic networks

Published:2023-05-09 Issue: Volume: Page:1-16
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Dudkina Ekaterina¹^ORCID,Bin Michelangelo²^ORCID,Breen Jane³^ORCID,Crisostomi Emanuele¹^ORCID,Ferraro Pietro⁴^ORCID,Kirkland Steve⁵,Mareček Jakub⁶^ORCID,Murray-Smith Roderick⁷^ORCID,Parisini Thomas⁸⁹¹⁰^ORCID,Stone Lewi¹¹¹²^ORCID,Yilmaz Serife⁴,Shorten Robert⁴^ORCID

Affiliation:

1. Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, Pisa, Italy

2. Department of Electrical, Electronic, and Information Engineering, University of Bologna, Bologna, Italy

3. Faculty of Science, Ontario Tech University, Oshawa, Canada

4. Dyson School of Design Engineering, Imperial College London, London, UK

5. Department of Mathematics, University of Manitoba, Winnipeg, Canada

6. Department of Computer Science, Czech Technical University, Prague, Czech Republic

7. School of Computing Science, University of Glasgow, Glasgow, Scotland

8. Department of Engineering and Architecture, University of Trieste, Trieste, Italy

9. KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus

10. Department of Electrical and Electronic Engineering, Imperial College London, London, UK

11. Mathematics, School of Science, RMIT University, Melbourne, Australia

12. The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel

Funder

Research Center for Informatics

TUBITAK

NSERC Discovery Grant

EPSRC

European Union's Horizon 2020 Research and Innovation Programme

Italian Ministry of Education, Universities and Research through the Research Project PRIN 2017

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2023.2204969

Reference61 articles.

1. Aldous, D. & Fill, J. A. (2002). Reversible Markov chains and random walks on graphs. Unfinished monograph, recompiled 2014, available at http://www.stat.berkeley.edu/aldous/RWG/book.html.

2. Modelling the test, trace and quarantine strategy to control the COVID-19 epidemic in the state of São Paulo, Brazil

3. The architecture of complex weighted networks

4. Efficient and targeted COVID-19 border testing via reinforcement learning

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