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• W2994533456 abstract "Recently it has been recognized that many complex biological, technological and social networks have a multilayer nature and can be described by multilayer networks. Multilayer networks are formed by a set of nodes connected by links having different connotations forming the different layers of the multilayer. Illustrating the centrality of the nodes in a multilayer network is an interesting task since the centrality of the node organically depends on the importance associated to links of a certain type. Here we propose to assign to each node of a multilayer network a centrality called Coupling Multiplex PageRank that is a modification of the coupling given to every distinct pattern of connections (multi-links) existent in the multilayer network between any two nodes. Since multi-links differentiate all the possible ways where the links in distinct layers can overlap, the Coupling Multiplex PageRank can describe the coupling effects during the multi-links. Here we apply the Coupling Page Rank to a multilayer artificial network and to a multiplex traffic network. Findings indicate that considering the network with multilayers helps uncover the rankings of nodes, which are different from the rankings in a monotonous network." @default.
• W2994533456 created "2019-12-13" @default.
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• W2994533456 date "2019-01-01" @default.
• W2994533456 modified "2023-09-24" @default.
• W2994533456 title "Multiplex PageRank in Multilayer Networks Considering Shunt" @default.
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• W2994533456 doi "https://doi.org/10.1007/978-3-030-34637-9_4" @default.
• W2994533456 hasPublicationYear "2019" @default.
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