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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Main Authors: Kiran Sharma, Gunjan Sehgal, Bindu Gupta, Geetika Sharma, Arnab Chatterjee, Anirban Chakraborti, Gautam Shroff
Format: Article
Language:English
Published: Nature Publishing Group 2017-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-09101-8
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spelling 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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