Cargando…
Edge betweenness centrality as a failure predictor in network models of structurally disordered materials
Network theoretical measures such as geodesic edge betweenness centrality (GEBC) have been proposed as failure predictors in network models of load-driven materials failure. Edge betweenness centrality ranks which links are significant, based on the fraction of shortest paths that pass through the l...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276817/ https://www.ncbi.nlm.nih.gov/pubmed/35821040 http://dx.doi.org/10.1038/s41598-022-15842-y |
_version_ | 1784745811674923008 |
---|---|
author | Pournajar, Mahshid Zaiser, Michael Moretti, Paolo |
author_facet | Pournajar, Mahshid Zaiser, Michael Moretti, Paolo |
author_sort | Pournajar, Mahshid |
collection | PubMed |
description | Network theoretical measures such as geodesic edge betweenness centrality (GEBC) have been proposed as failure predictors in network models of load-driven materials failure. Edge betweenness centrality ranks which links are significant, based on the fraction of shortest paths that pass through the links between network nodes. We study GEBC as a failure predictor for two-dimensional fuse network models of load transmission in structurally disordered materials. We analyze the evolution of edge betweenness centrality in the run-up to failure and the correlation between GEBC and failure propensity for both hierarchical and non-hierarchical networks exhibiting various degrees of disorder. We observe a non trivial relationship between GEBC and failure propensity, which suggests that the idea of GEBC as a useful failure predictor needs to be strongly qualified. |
format | Online Article Text |
id | pubmed-9276817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92768172022-07-14 Edge betweenness centrality as a failure predictor in network models of structurally disordered materials Pournajar, Mahshid Zaiser, Michael Moretti, Paolo Sci Rep Article Network theoretical measures such as geodesic edge betweenness centrality (GEBC) have been proposed as failure predictors in network models of load-driven materials failure. Edge betweenness centrality ranks which links are significant, based on the fraction of shortest paths that pass through the links between network nodes. We study GEBC as a failure predictor for two-dimensional fuse network models of load transmission in structurally disordered materials. We analyze the evolution of edge betweenness centrality in the run-up to failure and the correlation between GEBC and failure propensity for both hierarchical and non-hierarchical networks exhibiting various degrees of disorder. We observe a non trivial relationship between GEBC and failure propensity, which suggests that the idea of GEBC as a useful failure predictor needs to be strongly qualified. Nature Publishing Group UK 2022-07-12 /pmc/articles/PMC9276817/ /pubmed/35821040 http://dx.doi.org/10.1038/s41598-022-15842-y 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 Pournajar, Mahshid Zaiser, Michael Moretti, Paolo Edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
title | Edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
title_full | Edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
title_fullStr | Edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
title_full_unstemmed | Edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
title_short | Edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
title_sort | edge betweenness centrality as a failure predictor in network models of structurally disordered materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276817/ https://www.ncbi.nlm.nih.gov/pubmed/35821040 http://dx.doi.org/10.1038/s41598-022-15842-y |
work_keys_str_mv | AT pournajarmahshid edgebetweennesscentralityasafailurepredictorinnetworkmodelsofstructurallydisorderedmaterials AT zaisermichael edgebetweennesscentralityasafailurepredictorinnetworkmodelsofstructurallydisorderedmaterials AT morettipaolo edgebetweennesscentralityasafailurepredictorinnetworkmodelsofstructurallydisorderedmaterials |