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Cited by 569

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Emergence of network features from multiplexity

Open access
Cardillo, Alessio, Gómez-Gardeñes, Jesús, Zanin, Massimiliano, Romance, Miguel, Papo, David, Pozo, Francisco del, Boccaletti, Stefano·2013·Scientific Reports

Abstract

Many biological and man-made networked systems are characterized by the simultaneous presence of different sub-networks organized in separate layers, with links and nodes of qualitatively different types. While during the past few years theoretical studies have examined a variety of structural features of complex networks, the outstanding question is whether such features are characterizing all single layers, or rather emerge as a result of coarse-graining, i.e. when going from the multilayered to the aggregate network representation. Here we address this issue with the help of real data. We analyze the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer. We examine how several structural measures evolve as layers are progressively merged together. In particular, we discuss how the topology of each layer affects the emergence of structural properties in the aggregate network.

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Metadata

Authors
Cardillo, A., Gómez-Gardeñes, J., Zanin, M., Romance, M., Papo, D., Pozo, F. D., & Boccaletti, S.
Venue
Scientific Reports
Published
2013-02-27
Volume
3
Issue
1
Pages
1344-1344
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2004210302
Cited by
569
References
5
FWCI
36.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Emergence of network features from multiplexity. https://app.cochat.ai/papers/10.1038/srep01344
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Cardillo, A., Gómez-Gardeñes, J., Zanin, M., Romance, M., Papo, D., Pozo, F. D., & Boccaletti, S. (2013). Emergence of network features from multiplexity. Scientific Reports. https://doi.org/10.1038/srep01344

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.