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NEXCADE: Perturbation Analysis for Complex Networks
Recent advances in network theory have led to considerable progress in our understanding of complex real world systems and their behavior in response to external threats or fluctuations. Much of this research has been invigorated by demonstration of the ‘robust, yet fragile’ nature of cellular and l...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411682/ https://www.ncbi.nlm.nih.gov/pubmed/22870252 http://dx.doi.org/10.1371/journal.pone.0041827 |
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author | Yadav, Gitanjali Babu, Suresh |
author_facet | Yadav, Gitanjali Babu, Suresh |
author_sort | Yadav, Gitanjali |
collection | PubMed |
description | Recent advances in network theory have led to considerable progress in our understanding of complex real world systems and their behavior in response to external threats or fluctuations. Much of this research has been invigorated by demonstration of the ‘robust, yet fragile’ nature of cellular and large-scale systems transcending biology, sociology, and ecology, through application of the network theory to diverse interactions observed in nature such as plant-pollinator, seed-dispersal agent and host-parasite relationships. In this work, we report the development of NEXCADE, an automated and interactive program for inducing disturbances into complex systems defined by networks, focusing on the changes in global network topology and connectivity as a function of the perturbation. NEXCADE uses a graph theoretical approach to simulate perturbations in a user-defined manner, singly, in clusters, or sequentially. To demonstrate the promise it holds for broader adoption by the research community, we provide pre-simulated examples from diverse real-world networks including eukaryotic protein-protein interaction networks, fungal biochemical networks, a variety of ecological food webs in nature as well as social networks. NEXCADE not only enables network visualization at every step of the targeted attacks, but also allows risk assessment, i.e. identification of nodes critical for the robustness of the system of interest, in order to devise and implement context-based strategies for restructuring a network, or to achieve resilience against link or node failures. Source code and license for the software, designed to work on a Linux-based operating system (OS) can be downloaded at http://www.nipgr.res.in/nexcade_download.html. In addition, we have developed NEXCADE as an OS-independent online web server freely available to the scientific community without any login requirement at http://www.nipgr.res.in/nexcade.html. |
format | Online Article Text |
id | pubmed-3411682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34116822012-08-06 NEXCADE: Perturbation Analysis for Complex Networks Yadav, Gitanjali Babu, Suresh PLoS One Research Article Recent advances in network theory have led to considerable progress in our understanding of complex real world systems and their behavior in response to external threats or fluctuations. Much of this research has been invigorated by demonstration of the ‘robust, yet fragile’ nature of cellular and large-scale systems transcending biology, sociology, and ecology, through application of the network theory to diverse interactions observed in nature such as plant-pollinator, seed-dispersal agent and host-parasite relationships. In this work, we report the development of NEXCADE, an automated and interactive program for inducing disturbances into complex systems defined by networks, focusing on the changes in global network topology and connectivity as a function of the perturbation. NEXCADE uses a graph theoretical approach to simulate perturbations in a user-defined manner, singly, in clusters, or sequentially. To demonstrate the promise it holds for broader adoption by the research community, we provide pre-simulated examples from diverse real-world networks including eukaryotic protein-protein interaction networks, fungal biochemical networks, a variety of ecological food webs in nature as well as social networks. NEXCADE not only enables network visualization at every step of the targeted attacks, but also allows risk assessment, i.e. identification of nodes critical for the robustness of the system of interest, in order to devise and implement context-based strategies for restructuring a network, or to achieve resilience against link or node failures. Source code and license for the software, designed to work on a Linux-based operating system (OS) can be downloaded at http://www.nipgr.res.in/nexcade_download.html. In addition, we have developed NEXCADE as an OS-independent online web server freely available to the scientific community without any login requirement at http://www.nipgr.res.in/nexcade.html. Public Library of Science 2012-08-03 /pmc/articles/PMC3411682/ /pubmed/22870252 http://dx.doi.org/10.1371/journal.pone.0041827 Text en © 2012 Yadav, Babu http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yadav, Gitanjali Babu, Suresh NEXCADE: Perturbation Analysis for Complex Networks |
title | NEXCADE: Perturbation Analysis for Complex Networks |
title_full | NEXCADE: Perturbation Analysis for Complex Networks |
title_fullStr | NEXCADE: Perturbation Analysis for Complex Networks |
title_full_unstemmed | NEXCADE: Perturbation Analysis for Complex Networks |
title_short | NEXCADE: Perturbation Analysis for Complex Networks |
title_sort | nexcade: perturbation analysis for complex networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411682/ https://www.ncbi.nlm.nih.gov/pubmed/22870252 http://dx.doi.org/10.1371/journal.pone.0041827 |
work_keys_str_mv | AT yadavgitanjali nexcadeperturbationanalysisforcomplexnetworks AT babusuresh nexcadeperturbationanalysisforcomplexnetworks |