Lentz Hartmut H K, Selhorst Thomas, Sokolov Igor M
Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, 12489 Berlin, Germany.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 2):066111. doi: 10.1103/PhysRevE.85.066111. Epub 2012 Jun 11.
We consider epidemics in metapopulations on different network topologies. Recent work on epidemics on networks has focused on epidemics of humans. In this work we present a model for epidemics on directed networks, which are found, for example, in the livestock trade. We show that the direction of edges and the modular structure of networks have an impact on the outbreak size and the time of the outbreak peak. In some circumstances, the outbreak size in directed networks can even be larger than in undirected systems. The results presented here could be useful for decision-making processes in directed modular systems.
我们考虑不同网络拓扑结构上的异质种群中的流行病。近期关于网络流行病的研究主要集中在人类流行病方面。在这项工作中,我们提出了一个针对有向网络流行病的模型,例如在牲畜贸易中发现的有向网络。我们表明,边的方向和网络的模块结构对疫情爆发规模和爆发峰值时间有影响。在某些情况下,有向网络中的疫情爆发规模甚至可能比无向系统中的更大。这里给出的结果可能有助于有向模块化系统中的决策过程。