文章基本信息

标题：Betweenness centrality for temporal multiplexes
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作者：Silvia Zaoli ; Piero Mazzarisi ; Fabrizio Lillo 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2021
卷号：11
DOI：10.1038/s41598-021-84418-z
语种：English
出版社：Springer Nature
摘要：Betweenness centrality quantifies the importance of a vertex for the information flow in a network. The standard betweenness centrality applies to static single-layer networks, but many real world networks are both dynamic and made of several layers. We propose a definition of betweenness centrality for temporal multiplexes. This definition accounts for the topological and temporal structure and for the duration of paths in the determination of the shortest paths. We propose an algorithm to compute the new metric using a mapping to a static graph. We apply the metric to a dataset of \documentclass[12pt