A Motif-Based Approach to Network Epidemics
A Motif-Based Approach to Network Epidemics
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DOI：
10.1007/s11538-009-9420-z
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发表时间：
2009-10-01
影响因子：
3.5
通讯作者：
Keeling, Matt J.
中科院分区：
文献类型：
--
作者：
House, Thomas;Davies, Geoffrey;Keeling, Matt J.
网络已成为传染病建模中不可或缺的工具，已知流行病学相关接触的结构会影响感染过程的动态和干预战略的效力。其中一个关键原因是接触网络中存在聚类，这通常是根据网络中三角形的普遍性进行分析的。我们提出了一个更一般的方法，根据不同的四个图案的流行程度，在网络动态的ODE近似的上下文中。这是优于现有的模型的一系列小世界网络。
Networks have become an indispensable tool in modelling infectious diseases, with the structure of epidemiologically relevant contacts known to affect both the dynamics of the infection process and the efficacy of intervention strategies. One of the key reasons for this is the presence of clustering in contact networks, which is typically analysed in terms of prevalence of triangles in the network. We present a more general approach, based on the prevalence of different four-motifs, in the context of ODE approximations to network dynamics. This is shown to outperform existing models for a range of small world networks.