Institute of Aquaculture, School of Natural Sciences, University of Stirling, Stirling, Stirlingshire FK9 4LA, UK.
Prev Vet Med. 2011 May 1;99(2-4):225-8. doi: 10.1016/j.prevetmed.2011.01.008. Epub 2011 Feb 26.
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.
将接触网络划分为社区，可得出在流行病学上相关的节点分组，这有助于设计疾病监测和控制策略，例如接触者追踪或设计疾病传播的“防火带”。然而，如果这些分组的持续时间长于干预措施的时间尺度，那么它们才有价值。在这里，我们应用不同的方法来识别两个动物交易网络（苏格兰的三文鱼交易网络（2002-2004 年）和英国的牲畜交易网络（2003-2004 年））的网络分区在不同时间的一致性。这两个交易网络在时间上的社区结构具有中等程度的一致性，但当仅考虑整个时间序列中涉及交易的“核心”节点网络时，这种一致性更高，因此社区结构更加一致。在任何情况下，在时间上接近的分区之间都没有发现更高的一致性。除非应用适当的标准化，否则这些措施的绝对值会有所不同。一旦标准化，这些措施对两种网络类型都给出了相似的值。
