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Cited by 548

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Navigability of interconnected networks under random failures

Open access
De Domenico, Manlio, Solé-Ribalta, Albert, Gómez, Sergio, Arenas, Alex·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Network theory has been exploited in the last decades to deepen our comprehension of complex systems. However, real-world complex systems exhibit multiple levels of relationships and require modeling by interconnected networks, characterizing interactions on several levels simultaneously. Questions such as “what is the efficiency of exploration of a city using the multiple transportation layers, like subway and bus?” and “what is its resilience to failures?” have to be answered using the multiplex framework. Here, we introduce fundamental mechanisms to perform such exploration, using random walks on multilayer networks, and we show how the topological structure, together with the navigation strategy, influences the efficiency in exploring the whole structure.

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Crossref · 10.1073/pnas.1318469111

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Metadata

Authors
De Domenico, M., Solé-Ribalta, A., Gómez, S., & Arenas, A.
Venue
Proceedings of the National Academy of Sciences
Published
2014-05-27
Volume
111
Issue
23
Pages
8351-8356
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1807089695
Cited by
548
References
43
FWCI
31.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Navigability of interconnected networks under random failures. https://app.cochat.ai/papers/10.1073/pnas.1318469111
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De Domenico, M., Solé-Ribalta, A., Gómez, S., & Arenas, A. (2014). Navigability of interconnected networks under random failures. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1318469111

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.