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dc.contributor.authorGreen, Darren-
dc.contributor.authorWerkman, Marleen-
dc.contributor.authorMunro, Lorna Ann-
dc.contributor.authorKao, Rowland R-
dc.contributor.authorKiss, Istvan Z-
dc.contributor.authorDanon, Leon-
dc.description.abstractPartitioning of contact networks into communities allows groupings of epidemiologically related nodes to be derived, that could inform the design of disease surveillance and control strategies, e.g. contact tracing or design of `firebreaks' for disease spread. However, these are only of merit if they persist longer than the timescale of interventions. Here, we apply different methods to identify concordance between network partitions across time for two animal trading networks, those of salmon in Scotland (2002-4) and livestock in Great Britain (2003-4). Both trading networks are similar in that they moderately agree over time in terms of their community structures, but this concordance is higher -- and therefore community structure is more consistent -- when only the `core' network of nodes involved in trading over the whole time series is considered. In neither case was higher agreement found between partitions close together in time. These measures differ in their absolute values unless appropriate standardisation is applied. Once standardised, the measures gave similar values for both network types.en_UK
dc.relationGreen D, Werkman M, Munro LA, Kao RR, Kiss IZ & Danon L (2011) Tools to study trends in community structure: application to fish and livestock trading networks, Preventive Veterinary Medicine, 99 (2-4), pp. 225-228.-
dc.rightsPublished in Preventive Veterinary Medicine by Elsevier. Preventive Veterinary Medicine, Volume 99, Issues 2-4, May 2011, pp. 225 - 228.; This is the peer reviewed version of this article.; NOTICE: this is the author’s version of a work that was accepted for publication in Preventive Veterinary Medicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Preventive Veterinary Medicine, VOL 99, ISSUE 2-4, (May 2011). DOI: 10.1016/j.prevetmed.2011.01.008.-
dc.subject.lcshSalmon farming Economic aspects-
dc.subject.lcshFish trade-
dc.titleTools to study trends in community structure: application to fish and livestock trading networksen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitlePreventive Veterinary Medicine-
dc.type.statusPost-print (author final draft post-refereeing)-
dc.contributor.affiliationUniversity of Stirling-
dc.contributor.affiliationScottish Government - Enterprise, Environment & Digital - Marine Scotland-
dc.contributor.affiliationUniversity of Glasgow-
dc.contributor.affiliationUniversity of Sussex-
dc.contributor.affiliationUniversity of Warwick-
Appears in Collections:Aquaculture Journal Articles

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