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Hidden transition in multiplex networks
Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalous transition occurs in networks of three or more l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913666/ https://www.ncbi.nlm.nih.gov/pubmed/35273259 http://dx.doi.org/10.1038/s41598-022-07913-x |
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author | da Costa, R. A. Baxter, G. J. Dorogovtsev, S. N. Mendes, J. F. F. |
author_facet | da Costa, R. A. Baxter, G. J. Dorogovtsev, S. N. Mendes, J. F. F. |
author_sort | da Costa, R. A. |
collection | PubMed |
description | Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalous transition occurs in networks of three or more layers without unconnected nodes, [Formula: see text] . Above a critical value of a control parameter, the removal of a tiny fraction [Formula: see text] of nodes or edges triggers a failure cascade which ends either with the total collapse of the network, or a return to stability with the system essentially intact. The discontinuity is not accompanied by any singularity of the giant component, in contrast to the discontinuous hybrid transition which usually appears in such problems. The control parameter is the fraction of nodes in each layer with a single connection, [Formula: see text] . We obtain asymptotic expressions for the collapse time and relaxation time, above and below the critical point [Formula: see text] , respectively. In the limit [Formula: see text] the total collapse for [Formula: see text] takes a time [Formula: see text] , while there is an exponential relaxation below [Formula: see text] with a relaxation time [Formula: see text] . |
format | Online Article Text |
id | pubmed-8913666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89136662022-03-14 Hidden transition in multiplex networks da Costa, R. A. Baxter, G. J. Dorogovtsev, S. N. Mendes, J. F. F. Sci Rep Article Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalous transition occurs in networks of three or more layers without unconnected nodes, [Formula: see text] . Above a critical value of a control parameter, the removal of a tiny fraction [Formula: see text] of nodes or edges triggers a failure cascade which ends either with the total collapse of the network, or a return to stability with the system essentially intact. The discontinuity is not accompanied by any singularity of the giant component, in contrast to the discontinuous hybrid transition which usually appears in such problems. The control parameter is the fraction of nodes in each layer with a single connection, [Formula: see text] . We obtain asymptotic expressions for the collapse time and relaxation time, above and below the critical point [Formula: see text] , respectively. In the limit [Formula: see text] the total collapse for [Formula: see text] takes a time [Formula: see text] , while there is an exponential relaxation below [Formula: see text] with a relaxation time [Formula: see text] . Nature Publishing Group UK 2022-03-10 /pmc/articles/PMC8913666/ /pubmed/35273259 http://dx.doi.org/10.1038/s41598-022-07913-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article da Costa, R. A. Baxter, G. J. Dorogovtsev, S. N. Mendes, J. F. F. Hidden transition in multiplex networks |
title | Hidden transition in multiplex networks |
title_full | Hidden transition in multiplex networks |
title_fullStr | Hidden transition in multiplex networks |
title_full_unstemmed | Hidden transition in multiplex networks |
title_short | Hidden transition in multiplex networks |
title_sort | hidden transition in multiplex networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913666/ https://www.ncbi.nlm.nih.gov/pubmed/35273259 http://dx.doi.org/10.1038/s41598-022-07913-x |
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