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A biplex approach to PageRank centrality: From classic to multiplex networks
Francisco Pedroche1, Miguel Romance2, Regino Criado2
1Institut de Matemàtica Multidisciplinària, Universitat Politècnica de València, Valencia, Spain.
Abstract:
In this paper, we present a new view of the PageRank algorithm inspired by multiplex networks. This new approach allows to introduce a new centrality measure for classic complex networks and a new proposal to extend the usual PageRank algorithm to multiplex networks. We give some analytical relations between these new approaches and the classic PageRank centrality measure, and we illustrate the new parameters presented by computing them on real underground networks.
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