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Community Detection in Action: Identification of Critical Elements in Infrastructure Networks

机译:进行社区检测:识别基础结构网络中的关键要素

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Modern infrastructure systems form complex networks that are organized hierarchically in communities of tightly integrated elements. This paper presents three new community-based metrics to identify the critical elements of a network system. Two of these metrics assess intracommunity and intercommunity behavior for any community structure, and the third metric accounts for the multiple levels of community structure. First, these metrics are studied to establish their characteristics with different community structures, and then the Great Britain Railway Network is used as a case study to demonstrate the usefulness of these new metrics. The results show that an assessment of the system using these metrics leads to the identification of not only those elements that are critical at the global level, but also those that greatly affect the local performance of the communities. Such identification of the critical components at the community and global levels would enable a better understanding of system behavior by stakeholders with competing demands. (c) 2017 American Society of Civil Engineers.
机译:现代基础设施系统形成了复杂的网络,这些网络在紧密集成的元素社区中按层次结构组织。本文提出了三种基于社区的新指标,以识别网络系统的关键要素。其中两个指标评估任何社区结构的社区内和社区间行为,第三个指标说明社区结构的多个级别。首先,对这些指标进行研究,以建立具有不同社区结构的特征,然后以英国铁路网为例,以说明这些新指标的实用性。结果表明,使用这些度量标准对系统进行评估不仅可以识别在全球范围内至关重要的那些要素,而且还可以识别那些极大地影响社区本地绩效的要素。在社区和全球范围内对关键组成部分的这种识别,将使利益相关者有相互竞争的需求,可以更好地了解系统行为。 (c)2017年美国土木工程师学会。

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