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Node Survival in Networks under Correlated Attacks
We study the interplay between correlations, dynamics, and networks for repeated attacks on a socio-economic network. As a model system we consider an insurance scheme against disasters that randomly hit nodes, where a node in need receives support from its network neighbors. The model is motivated...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416727/ https://www.ncbi.nlm.nih.gov/pubmed/25932635 http://dx.doi.org/10.1371/journal.pone.0125467 |
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author | Hao, Yan Armbruster, Dieter Hütt, Marc-Thorsten |
author_facet | Hao, Yan Armbruster, Dieter Hütt, Marc-Thorsten |
author_sort | Hao, Yan |
collection | PubMed |
description | We study the interplay between correlations, dynamics, and networks for repeated attacks on a socio-economic network. As a model system we consider an insurance scheme against disasters that randomly hit nodes, where a node in need receives support from its network neighbors. The model is motivated by gift giving among the Maasai called Osotua. Survival of nodes under different disaster scenarios (uncorrelated, spatially, temporally and spatio-temporally correlated) and for different network architectures are studied with agent-based numerical simulations. We find that the survival rate of a node depends dramatically on the type of correlation of the disasters: Spatially and spatio-temporally correlated disasters increase the survival rate; purely temporally correlated disasters decrease it. The type of correlation also leads to strong inequality among the surviving nodes. We introduce the concept of disaster masking to explain some of the results of our simulations. We also analyze the subsets of the networks that were activated to provide support after fifty years of random disasters. They show qualitative differences for the different disaster scenarios measured by path length, degree, clustering coefficient, and number of cycles. |
format | Online Article Text |
id | pubmed-4416727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44167272015-05-07 Node Survival in Networks under Correlated Attacks Hao, Yan Armbruster, Dieter Hütt, Marc-Thorsten PLoS One Research Article We study the interplay between correlations, dynamics, and networks for repeated attacks on a socio-economic network. As a model system we consider an insurance scheme against disasters that randomly hit nodes, where a node in need receives support from its network neighbors. The model is motivated by gift giving among the Maasai called Osotua. Survival of nodes under different disaster scenarios (uncorrelated, spatially, temporally and spatio-temporally correlated) and for different network architectures are studied with agent-based numerical simulations. We find that the survival rate of a node depends dramatically on the type of correlation of the disasters: Spatially and spatio-temporally correlated disasters increase the survival rate; purely temporally correlated disasters decrease it. The type of correlation also leads to strong inequality among the surviving nodes. We introduce the concept of disaster masking to explain some of the results of our simulations. We also analyze the subsets of the networks that were activated to provide support after fifty years of random disasters. They show qualitative differences for the different disaster scenarios measured by path length, degree, clustering coefficient, and number of cycles. Public Library of Science 2015-05-01 /pmc/articles/PMC4416727/ /pubmed/25932635 http://dx.doi.org/10.1371/journal.pone.0125467 Text en © 2015 Hao et al 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 Hao, Yan Armbruster, Dieter Hütt, Marc-Thorsten Node Survival in Networks under Correlated Attacks |
title | Node Survival in Networks under Correlated Attacks |
title_full | Node Survival in Networks under Correlated Attacks |
title_fullStr | Node Survival in Networks under Correlated Attacks |
title_full_unstemmed | Node Survival in Networks under Correlated Attacks |
title_short | Node Survival in Networks under Correlated Attacks |
title_sort | node survival in networks under correlated attacks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416727/ https://www.ncbi.nlm.nih.gov/pubmed/25932635 http://dx.doi.org/10.1371/journal.pone.0125467 |
work_keys_str_mv | AT haoyan nodesurvivalinnetworksundercorrelatedattacks AT armbrusterdieter nodesurvivalinnetworksundercorrelatedattacks AT huttmarcthorsten nodesurvivalinnetworksundercorrelatedattacks |