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A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic

In recent years researchers have investigated a growing number of weighted heterogeneous networks, where connections are not merely binary entities, but are proportional to the intensity or capacity of the connections among the various elements. Different degree centrality measures have been propose...

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Detalles Bibliográficos
Autores principales: Candeloro, Luca, Savini, Lara, Conte, Annamaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5089772/
https://www.ncbi.nlm.nih.gov/pubmed/27802327
http://dx.doi.org/10.1371/journal.pone.0165781
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author Candeloro, Luca
Savini, Lara
Conte, Annamaria
author_facet Candeloro, Luca
Savini, Lara
Conte, Annamaria
author_sort Candeloro, Luca
collection PubMed
description In recent years researchers have investigated a growing number of weighted heterogeneous networks, where connections are not merely binary entities, but are proportional to the intensity or capacity of the connections among the various elements. Different degree centrality measures have been proposed for this kind of networks. In this work we propose weighted degree and strength centrality measures (WDC and WSC). Using a reducing factor we correct classical centrality measures (CD) to account for tie weights distribution. The bigger the departure from equal weights distribution, the greater the reduction. These measures are applied to a real network of Italian livestock movements as an example. A simulation model has been developed to predict disease spread into Italian regions according to animal movements and animal population density. Model’s results, expressed as infected regions and number of times a region gets infected, were related to weighted and classical degree centrality measures. WDC and WSC were shown to be more efficient in predicting node’s risk and vulnerability. The proposed measures and their application in an animal network could be used to support surveillance and infection control strategy plans.
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spelling pubmed-50897722016-11-15 A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic Candeloro, Luca Savini, Lara Conte, Annamaria PLoS One Research Article In recent years researchers have investigated a growing number of weighted heterogeneous networks, where connections are not merely binary entities, but are proportional to the intensity or capacity of the connections among the various elements. Different degree centrality measures have been proposed for this kind of networks. In this work we propose weighted degree and strength centrality measures (WDC and WSC). Using a reducing factor we correct classical centrality measures (CD) to account for tie weights distribution. The bigger the departure from equal weights distribution, the greater the reduction. These measures are applied to a real network of Italian livestock movements as an example. A simulation model has been developed to predict disease spread into Italian regions according to animal movements and animal population density. Model’s results, expressed as infected regions and number of times a region gets infected, were related to weighted and classical degree centrality measures. WDC and WSC were shown to be more efficient in predicting node’s risk and vulnerability. The proposed measures and their application in an animal network could be used to support surveillance and infection control strategy plans. Public Library of Science 2016-11-01 /pmc/articles/PMC5089772/ /pubmed/27802327 http://dx.doi.org/10.1371/journal.pone.0165781 Text en © 2016 Candeloro et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Candeloro, Luca
Savini, Lara
Conte, Annamaria
A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic
title A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic
title_full A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic
title_fullStr A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic
title_full_unstemmed A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic
title_short A New Weighted Degree Centrality Measure: The Application in an Animal Disease Epidemic
title_sort new weighted degree centrality measure: the application in an animal disease epidemic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5089772/
https://www.ncbi.nlm.nih.gov/pubmed/27802327
http://dx.doi.org/10.1371/journal.pone.0165781
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