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Women’s connectivity in extreme networks
A popular stereotype is that women will play more minor roles than men as environments become more dangerous and aggressive. Our analysis of new longitudinal data sets from offline and online operational networks [for example, ISIS (Islamic State)] shows that although men dominate numerically, women...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928915/ https://www.ncbi.nlm.nih.gov/pubmed/27386564 http://dx.doi.org/10.1126/sciadv.1501742 |
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author | Manrique, Pedro Cao, Zhenfeng Gabriel, Andrew Horgan, John Gill, Paul Qi, Hong Restrepo, Elvira M. Johnson, Daniela Wuchty, Stefan Song, Chaoming Johnson, Neil |
author_facet | Manrique, Pedro Cao, Zhenfeng Gabriel, Andrew Horgan, John Gill, Paul Qi, Hong Restrepo, Elvira M. Johnson, Daniela Wuchty, Stefan Song, Chaoming Johnson, Neil |
author_sort | Manrique, Pedro |
collection | PubMed |
description | A popular stereotype is that women will play more minor roles than men as environments become more dangerous and aggressive. Our analysis of new longitudinal data sets from offline and online operational networks [for example, ISIS (Islamic State)] shows that although men dominate numerically, women emerge with superior network connectivity that can benefit the underlying system’s robustness and survival. Our observations suggest new female-centric approaches that could be used to affect such networks. They also raise questions about how individual contributions in high-pressure systems are evaluated. |
format | Online Article Text |
id | pubmed-4928915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49289152016-07-06 Women’s connectivity in extreme networks Manrique, Pedro Cao, Zhenfeng Gabriel, Andrew Horgan, John Gill, Paul Qi, Hong Restrepo, Elvira M. Johnson, Daniela Wuchty, Stefan Song, Chaoming Johnson, Neil Sci Adv Research Articles A popular stereotype is that women will play more minor roles than men as environments become more dangerous and aggressive. Our analysis of new longitudinal data sets from offline and online operational networks [for example, ISIS (Islamic State)] shows that although men dominate numerically, women emerge with superior network connectivity that can benefit the underlying system’s robustness and survival. Our observations suggest new female-centric approaches that could be used to affect such networks. They also raise questions about how individual contributions in high-pressure systems are evaluated. American Association for the Advancement of Science 2016-06-10 /pmc/articles/PMC4928915/ /pubmed/27386564 http://dx.doi.org/10.1126/sciadv.1501742 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Manrique, Pedro Cao, Zhenfeng Gabriel, Andrew Horgan, John Gill, Paul Qi, Hong Restrepo, Elvira M. Johnson, Daniela Wuchty, Stefan Song, Chaoming Johnson, Neil Women’s connectivity in extreme networks |
title | Women’s connectivity in extreme networks |
title_full | Women’s connectivity in extreme networks |
title_fullStr | Women’s connectivity in extreme networks |
title_full_unstemmed | Women’s connectivity in extreme networks |
title_short | Women’s connectivity in extreme networks |
title_sort | women’s connectivity in extreme networks |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928915/ https://www.ncbi.nlm.nih.gov/pubmed/27386564 http://dx.doi.org/10.1126/sciadv.1501742 |
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