A complex network analysis of ethnic conflicts and human rights violations
Abstract 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 ana...
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2017-08-01
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doaj-d6013f3d9297444bb20f764e534e30882020-12-08T01:51:54ZengNature Publishing GroupScientific Reports2045-23222017-08-01711710.1038/s41598-017-09101-8A complex network analysis of ethnic conflicts and human rights violationsKiran Sharma0Gunjan Sehgal1Bindu Gupta2Geetika Sharma3Arnab Chatterjee4Anirban Chakraborti5Gautam Shroff6School of Computational and Integrative Sciences, Jawaharlal Nehru UniversityTCS ResearchTCS ResearchTCS ResearchTCS ResearchSchool of Computational and Integrative Sciences, Jawaharlal Nehru UniversityTCS ResearchAbstract 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.https://doi.org/10.1038/s41598-017-09101-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kiran Sharma Gunjan Sehgal Bindu Gupta Geetika Sharma Arnab Chatterjee Anirban Chakraborti Gautam Shroff |
spellingShingle |
Kiran Sharma Gunjan Sehgal Bindu Gupta Geetika Sharma Arnab Chatterjee Anirban Chakraborti Gautam Shroff A complex network analysis of ethnic conflicts and human rights violations Scientific Reports |
author_facet |
Kiran Sharma Gunjan Sehgal Bindu Gupta Geetika Sharma Arnab Chatterjee Anirban Chakraborti Gautam Shroff |
author_sort |
Kiran Sharma |
title |
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_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_sort |
complex network analysis of ethnic conflicts and human rights violations |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2017-08-01 |
description |
Abstract 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. |
url |
https://doi.org/10.1038/s41598-017-09101-8 |
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