Betweenness centrality for temporal multiplexes

Abstract Betweenness centrality quantifies the importance of a vertex for information flow in network. The standard betweenness applies to static single-layer networks, but many real world networks are both dynamic and made several layers. We propose definition temporal multiplexes. This accounts topological structure duration paths determination shortest paths. an algorithm compute new metric using mapping graph. apply dataset $$\sim 20$$ ∼ 20 k European flights compare results with those obtained or metrics. differences airports rankings highlight considering multiplex appropriate distance metric.