英语翻译In the physical literature the dynamics of complex networks has recently received much attention,with many applications in social,biological,and technical systems [1,2].In particular,most research has been directed in two distinct directi
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英语翻译In the physical literature the dynamics of complex networks has recently received much attention,with many applications in social,biological,and technical systems [1,2].In particular,most research has been directed in two distinct directi
英语翻译
In the physical literature the dynamics of complex networks has recently received much attention,with many applications in social,biological,and technical systems [1,2].In particular,most research has been directed in two distinct directions.On the one hand,attention has been paid to the structure of the networks,revealing that simple dynamical rules,such as preferential attachment or selective rewiring,can be used to generate complex topologies [3–6].Many of these rules are not only a useful tool for the generation of model graphs,but are also believed to shape real-world networks like the internet or the network of social contacts.On the other hand,research has focused on large ensembles of dynamical systems,where the interaction between individual units is described by a complex graph [7–15].These studies have shown that the network topology can have a strong impact on the dynamics of the nodes,e.g.,the absence of epidemic thresholds on scale free networks [7,8] or the detrimental effect of assortative degree correlations on targeted vaccination [12].In the past the cross fertilization between these two lines of thought has led to considerable advances.
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英语翻译In the physical literature the dynamics of complex networks has recently received much attention,with many applications in social,biological,and technical systems [1,2].In particular,most research has been directed in two distinct directi
在物理文学中,复杂网络的动力学最近引起了广泛关注,它们大多应用于社会,生物和技术系统.【1.2】,实际上,很多研究把它划分为两个不同的方向.一方面,人们关注网络的结构,揭示简单的动力规则,例如可选附件或者可再次发送,它们可被用于产生复杂的拓扑结构【3-6】.这些规则很多都不仅仅只对产生模型图有用,它们同样可以描绘出真实的网络或者社交网络.另一方面,该研究着重于动力系统的合成,在这里,个体之间的交互关系被用复杂的图形表示出来【7-15】.这些研究表明网络的拓扑结构对结点的动态有很大的影响.例如,无尺度网络没有病毒传播的情况【7,8】,或者与选型度相关的对目标种痘的不利影响【12】.过去,在两条思想线路的交流已经获得了相当大的进展.