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Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks
Network robustness against attacks has been widely studied in fields as diverse as the Internet, power grids and human societies. But current definition of robustness is only accounting for half of the story: the connectivity of the nodes unaffected by the attack. Here we propose a new framework to...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561179/ https://www.ncbi.nlm.nih.gov/pubmed/28819206 http://dx.doi.org/10.1038/s41598-017-08714-3 |
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author | Tejedor, Alejandro Longjas, Anthony Zaliapin, Ilya Ambroj, Samuel Foufoula-Georgiou, Efi |
author_facet | Tejedor, Alejandro Longjas, Anthony Zaliapin, Ilya Ambroj, Samuel Foufoula-Georgiou, Efi |
author_sort | Tejedor, Alejandro |
collection | PubMed |
description | Network robustness against attacks has been widely studied in fields as diverse as the Internet, power grids and human societies. But current definition of robustness is only accounting for half of the story: the connectivity of the nodes unaffected by the attack. Here we propose a new framework to assess network robustness, wherein the connectivity of the affected nodes is also taken into consideration, acknowledging that it plays a crucial role in properly evaluating the overall network robustness in terms of its future recovery from the attack. Specifically, we propose a dual perspective approach wherein at any instant in the network evolution under attack, two distinct networks are defined: (i) the Active Network (AN) composed of the unaffected nodes and (ii) the Idle Network (IN) composed of the affected nodes. The proposed robustness metric considers both the efficiency of destroying the AN and that of building-up the IN. We show, via analysis of well-known prototype networks and real world data, that trade-offs between the efficiency of Active and Idle Network dynamics give rise to surprising robustness crossovers and re-rankings, which can have significant implications for decision making. |
format | Online Article Text |
id | pubmed-5561179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55611792017-08-18 Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks Tejedor, Alejandro Longjas, Anthony Zaliapin, Ilya Ambroj, Samuel Foufoula-Georgiou, Efi Sci Rep Article Network robustness against attacks has been widely studied in fields as diverse as the Internet, power grids and human societies. But current definition of robustness is only accounting for half of the story: the connectivity of the nodes unaffected by the attack. Here we propose a new framework to assess network robustness, wherein the connectivity of the affected nodes is also taken into consideration, acknowledging that it plays a crucial role in properly evaluating the overall network robustness in terms of its future recovery from the attack. Specifically, we propose a dual perspective approach wherein at any instant in the network evolution under attack, two distinct networks are defined: (i) the Active Network (AN) composed of the unaffected nodes and (ii) the Idle Network (IN) composed of the affected nodes. The proposed robustness metric considers both the efficiency of destroying the AN and that of building-up the IN. We show, via analysis of well-known prototype networks and real world data, that trade-offs between the efficiency of Active and Idle Network dynamics give rise to surprising robustness crossovers and re-rankings, which can have significant implications for decision making. Nature Publishing Group UK 2017-08-17 /pmc/articles/PMC5561179/ /pubmed/28819206 http://dx.doi.org/10.1038/s41598-017-08714-3 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tejedor, Alejandro Longjas, Anthony Zaliapin, Ilya Ambroj, Samuel Foufoula-Georgiou, Efi Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks |
title | Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks |
title_full | Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks |
title_fullStr | Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks |
title_full_unstemmed | Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks |
title_short | Network robustness assessed within a dual connectivity framework: joint dynamics of the Active and Idle Networks |
title_sort | network robustness assessed within a dual connectivity framework: joint dynamics of the active and idle networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561179/ https://www.ncbi.nlm.nih.gov/pubmed/28819206 http://dx.doi.org/10.1038/s41598-017-08714-3 |
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