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• W2086243891 abstract "Many real-world complex systems consist of a set of elementary units connected by relationships of different kinds. All such systems are better described in terms of multiplex networks, where the links at each layer represent a different type of interaction between the same set of nodes rather than in terms of (single-layer) networks. In this paper we present a general framework to describe and study multiplex networks, whose links are either unweighted or weighted. In particular, we propose a series of measures to characterize the multiplexicity of the systems in terms of (i) basic node and link properties such as the node degree, and the edge overlap and reinforcement, (ii) local properties such as the clustering coefficient and the transitivity, and (iii) global properties related to the navigability of the multiplex across the different layers. The measures we introduce are validated on a genuinely multiplex data set of Indonesian terrorists, where information among 78 individuals are recorded with respect to mutual trust, common operations, exchanged communications, and business relationships." @default.
• W2086243891 created "2016-06-24" @default.
• W2086243891 creator A5027706684 @default.
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• W2086243891 date "2014-03-12" @default.
• W2086243891 modified "2023-10-13" @default.
• W2086243891 title "Structural measures for multiplex networks" @default.
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• W2086243891 doi "https://doi.org/10.1103/physreve.89.032804" @default.
• W2086243891 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24730896" @default.
• W2086243891 hasPublicationYear "2014" @default.
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