Hierarchical Structures in Livestock Trade Networks-A Stochastic Block Model of the German Cattle Trade Network
| Autor: | Mareike Fischer, Hartmut H. K. Lentz, Laura Brzoska |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
040301 veterinary sciences
Computer science Modularity (biology) Context (language use) 0403 veterinary science German 03 medical and health sciences Order (exchange) Stochastic block model Germany Econometrics cattle trade network analysis modularity 030304 developmental biology Original Research 0303 health sciences lcsh:Veterinary medicine General Veterinary business.industry 04 agricultural and veterinary sciences Terms of trade stochastic block model language.human_language epidemic model language lcsh:SF600-1100 Livestock Veterinary Science business Network analysis |
| Zdroj: | Frontiers in Veterinary Science Frontiers in Veterinary Science, Vol 7 (2020) |
| ISSN: | 2297-1769 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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