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Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network

Trade of cattle between farms forms a complex trade network. We investigate partitions of this network for cattle trade in Germany. These partitions are groups of farms with similar properties and they are inferred directly from the trade pattern between farms. We make use of a rather new method kno...

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Detalles Bibliográficos
Autores principales: Brzoska, Laura, Fischer, Mareike, Lentz, Hartmut H. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266987/
https://www.ncbi.nlm.nih.gov/pubmed/32537461
http://dx.doi.org/10.3389/fvets.2020.00281
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author Brzoska, Laura
Fischer, Mareike
Lentz, Hartmut H. K.
author_facet Brzoska, Laura
Fischer, Mareike
Lentz, Hartmut H. K.
author_sort Brzoska, Laura
collection PubMed
description Trade of cattle between farms forms a complex trade network. We investigate partitions of this network for cattle trade in Germany. These partitions are groups of farms with similar properties and they are inferred directly from the trade pattern between farms. We make use of a rather new method known as stochastic block modeling (SBM) in order to divide the network into smaller units. SBM turns out to outperform the more established community detection method in the context of disease control in terms of trade restriction. Moreover, SBM is also superior to geographical based trade restrictions and could be a promising approach for disease control.
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spelling pubmed-72669872020-06-12 Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network Brzoska, Laura Fischer, Mareike Lentz, Hartmut H. K. Front Vet Sci Veterinary Science Trade of cattle between farms forms a complex trade network. We investigate partitions of this network for cattle trade in Germany. These partitions are groups of farms with similar properties and they are inferred directly from the trade pattern between farms. We make use of a rather new method known as stochastic block modeling (SBM) in order to divide the network into smaller units. SBM turns out to outperform the more established community detection method in the context of disease control in terms of trade restriction. Moreover, SBM is also superior to geographical based trade restrictions and could be a promising approach for disease control. Frontiers Media S.A. 2020-05-27 /pmc/articles/PMC7266987/ /pubmed/32537461 http://dx.doi.org/10.3389/fvets.2020.00281 Text en Copyright © 2020 Brzoska, Fischer and Lentz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Brzoska, Laura
Fischer, Mareike
Lentz, Hartmut H. K.
Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network
title Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network
title_full Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network
title_fullStr Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network
title_full_unstemmed Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network
title_short Hierarchical Structures in Livestock Trade Networks—A Stochastic Block Model of the German Cattle Trade Network
title_sort hierarchical structures in livestock trade networks—a stochastic block model of the german cattle trade network
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266987/
https://www.ncbi.nlm.nih.gov/pubmed/32537461
http://dx.doi.org/10.3389/fvets.2020.00281
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