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dc.contributor.authorYin, H
dc.contributor.authorClegg, RG
dc.contributor.authorMondragón, RJ
dc.date.accessioned2020-11-24T15:15:21Z
dc.date.available2020-10-12
dc.date.available2020-11-24T15:15:21Z
dc.date.issued2020-11-05
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/68623
dc.description.abstractAlternative paths in a network play an important role in its functionality as they can maintain the information flow under node/link failures. In this paper we explore the navigation of a network taking into account the alternative paths and in particular how can we describe this navigation in a concise way. Our approach is to simplify the network by aggregating into groups the nodes that do not contribute to alternative paths. We refer to these groups as super-nodes, and describe the post-aggregation network with super-nodes as the skeleton network. We present a method to describe with the least amount of information the paths in the super-nodes and skeleton network. Applying our method to several real networks we observed that there is scaling behaviour between the information required to describe all the paths in a network and the minimal information to describe the paths of its skeleton. We show how from this scaling we can evaluate the information of the paths for large networks with less computational cost.en_US
dc.format.extent19150 - ?
dc.languageeng
dc.publisherNature Publishing Groupen_US
dc.relation.ispartofSci Rep
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleSimplification of networks by conserving path diversity and minimisation of the search information.en_US
dc.typeArticleen_US
dc.rights.holder© 2020, The Author(s)
dc.identifier.doi10.1038/s41598-020-75741-y
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/33154403en_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume10en_US
dcterms.dateAccepted2020-10-12
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.