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A complex network analysis of ethnic conflicts and human rights violations
News reports in media contain records of a wide range of socio-economic and political events in time. Using a publicly available, large digital database of news records, and aggregating them over time, we study the network of ethnic conflicts and human rights violations. Complex network analyses of...
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/PMC5557885/ https://www.ncbi.nlm.nih.gov/pubmed/28811628 http://dx.doi.org/10.1038/s41598-017-09101-8 |
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author | Sharma, Kiran Sehgal, Gunjan Gupta, Bindu Sharma, Geetika Chatterjee, Arnab Chakraborti, Anirban Shroff, Gautam |
author_facet | Sharma, Kiran Sehgal, Gunjan Gupta, Bindu Sharma, Geetika Chatterjee, Arnab Chakraborti, Anirban Shroff, Gautam |
author_sort | Sharma, Kiran |
collection | PubMed |
description | News reports in media contain records of a wide range of socio-economic and political events in time. Using a publicly available, large digital database of news records, and aggregating them over time, we study the network of ethnic conflicts and human rights violations. Complex network analyses of the events and the involved actors provide important insights on the engaging actors, groups, establishments and sometimes nations, pointing at their long range effect over space and time. We find power law decays in distributions of actor mentions, co-actor mentions and degrees and dominance of influential actors and groups. Most influential actors or groups form a giant connected component which grows in time, and is expected to encompass all actors globally in the long run. We demonstrate how targeted removal of actors may help stop spreading unruly events. We study the cause-effect relation between types of events, and our quantitative analysis confirm that ethnic conflicts lead to human rights violations, while it does not support the converse. |
format | Online Article Text |
id | pubmed-5557885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55578852017-08-16 A complex network analysis of ethnic conflicts and human rights violations Sharma, Kiran Sehgal, Gunjan Gupta, Bindu Sharma, Geetika Chatterjee, Arnab Chakraborti, Anirban Shroff, Gautam Sci Rep Article News reports in media contain records of a wide range of socio-economic and political events in time. Using a publicly available, large digital database of news records, and aggregating them over time, we study the network of ethnic conflicts and human rights violations. Complex network analyses of the events and the involved actors provide important insights on the engaging actors, groups, establishments and sometimes nations, pointing at their long range effect over space and time. We find power law decays in distributions of actor mentions, co-actor mentions and degrees and dominance of influential actors and groups. Most influential actors or groups form a giant connected component which grows in time, and is expected to encompass all actors globally in the long run. We demonstrate how targeted removal of actors may help stop spreading unruly events. We study the cause-effect relation between types of events, and our quantitative analysis confirm that ethnic conflicts lead to human rights violations, while it does not support the converse. Nature Publishing Group UK 2017-08-15 /pmc/articles/PMC5557885/ /pubmed/28811628 http://dx.doi.org/10.1038/s41598-017-09101-8 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 Sharma, Kiran Sehgal, Gunjan Gupta, Bindu Sharma, Geetika Chatterjee, Arnab Chakraborti, Anirban Shroff, Gautam A complex network analysis of ethnic conflicts and human rights violations |
title | A complex network analysis of ethnic conflicts and human rights violations |
title_full | A complex network analysis of ethnic conflicts and human rights violations |
title_fullStr | A complex network analysis of ethnic conflicts and human rights violations |
title_full_unstemmed | A complex network analysis of ethnic conflicts and human rights violations |
title_short | A complex network analysis of ethnic conflicts and human rights violations |
title_sort | complex network analysis of ethnic conflicts and human rights violations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557885/ https://www.ncbi.nlm.nih.gov/pubmed/28811628 http://dx.doi.org/10.1038/s41598-017-09101-8 |
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