Scipediacontent: Scipediacontent moved page Draft Content 376633259 to Mazzarisi et al 2019a

2021-02-16T12:11:34Z

Scipediacontent moved page Draft Content 376633259 to Mazzarisi et al 2019a

Scipediacontent: Created page with " == Abstract == In complex networks, centrality metrics quantify the connectivity of nodes and identify the most important ones in the transmission of signals. In many real..."

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Created page with " == Abstract == In complex networks, centrality metrics quantify the connectivity of nodes and identify the most important ones in the transmission of signals. In many real..."

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== Abstract ==

In complex networks, centrality metrics quantify the connectivity of nodes and identify the most important ones in the transmission of signals. In many real world networks, especially in transportation systems, links are dynamic, i.e. their presence depends on time, and travelling between two nodes requires a non-vanishing time. Additionally, many networks are structured on several layers, representing, e.g., different transportation modes or service providers. Temporal generalisations of centrality metrics based on walk-counting, like Katz centrality, exist, however they do not account for non-zero link travel times and for the multiplex structure. We propose a generalisation of Katz centrality, termed Trip Centrality, counting only the walks that can be travelled according to the network temporal structure, i.e. “trips”, while also differentiating the contributions of inter- and intra-layer walks to centrality. We show an application to the US air transport system, specifically computing airports’ centrality losses due to delays in the flight network.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_376633259-beopen1063-7682-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1903.02815 http://arxiv.org/abs/1903.02815] under the license https://creativecommons.org/licenses/by

* [http://europepmc.org/articles/PMC6646307 http://europepmc.org/articles/PMC6646307]

* [http://hdl.handle.net/11585/720760 http://hdl.handle.net/11585/720760]

* [https://www.nature.com/articles/s41598-019-47115-6.pdf https://www.nature.com/articles/s41598-019-47115-6.pdf]

* [http://link.springer.com/article/10.1038/s41598-019-47115-6 http://link.springer.com/article/10.1038/s41598-019-47115-6],
: [https://doaj.org/toc/2045-2322 https://doaj.org/toc/2045-2322] under the license cc-by

* [http://www.nature.com/articles/s41598-019-47115-6.pdf http://www.nature.com/articles/s41598-019-47115-6.pdf],
: [http://www.nature.com/articles/s41598-019-47115-6 http://www.nature.com/articles/s41598-019-47115-6],
: [http://dx.doi.org/10.1038/s41598-019-47115-6 http://dx.doi.org/10.1038/s41598-019-47115-6]

* [https://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-02815 https://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-02815],
: [https://www.nature.com/articles/s41598-019-47115-6 https://www.nature.com/articles/s41598-019-47115-6],
: [https://ui.adsabs.harvard.edu/abs/2019NatSR...910570Z/abstract https://ui.adsabs.harvard.edu/abs/2019NatSR...910570Z/abstract],
: [https://www.nature.com/articles/s41598-019-47115-6.pdf https://www.nature.com/articles/s41598-019-47115-6.pdf],
: [https://academic.microsoft.com/#/detail/2964152018 https://academic.microsoft.com/#/detail/2964152018] under the license https://creativecommons.org/licenses/by/4.0

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Scipediacontent: Scipediacontent moved page Draft Content 376633259 to Mazzarisi et al 2019a

Scipediacontent: Created page with " == Abstract == In complex networks, centrality metrics quantify the connectivity of nodes and identify the most important ones in the transmission of signals. In many real..."