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Tools to study trends in community structure: Application to fish and livestock trading networks

journal contribution
posted on 2023-06-07, 22:13 authored by Darren Michael Green, Marleen Werkman, Lorna Ann Munro, Rowland Raymond Kao, Istvan Kiss, Leon Danon
Partitioning 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 (2002-2004) and livestock in Great Britain (2003-2004). 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

History

Publication status

  • Published

Journal

Preventive Veterinary Medicine

ISSN

0167-5877

Issue

2-4

Volume

99

Page range

225-228

Department affiliated with

  • Mathematics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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