Brokering between (not so) overt and (not so) covert networks in conflict zones
| Autor: | Christoph Vogel, Johan Koskinen, Patrycja Stys, Samuel Muhindo, Papy Muzuri, Judith Verweijen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Sociology and Political Science
Embeddedness Network sampling Political Science (excluding Public Administration Studies and Globalisation Studies) media_common.quotation_subject 0211 other engineering and technologies AFRICANA studies brokerage 02 engineering and technology Homophily HV Social pathology. Social and public welfare. Criminology Power (social and political) State (polity) Exponential random graph models covert networks Sociology armed groups CIVILIANS in war Statsvetenskap (exklusive studier av offentlig förvaltning och globaliseringsstudier) media_common RANDOM graphs COMBATANTS & noncombatants (International law) 021110 strategic defence & security studies 050901 criminology 05 social sciences BROKERS DRC network sampling network imputation ERGM Democracy Covert Political Science and International Relations 0509 other social sciences Law Cognitive psychology |
| Zdroj: | Global Crime, 21(1), 74-110. Routledge Stys, P, Verweijen, J, Muzuri, B P, Muhindo, S, Vogel, C & Koskinen, J 2019, ' Brokering between (not so) overt and (not so) covert networks in conflict zones ', Global Crime . https://doi.org/10.1080/17440572.2019.1596806 |
| ISSN: | 1744-0572 |
| DOI: | 10.1080/17440572.2019.1596806 |
| Popis: | There is a tendency to consider covert networks as separate from overt networks. Drawing on data from the Democratic Republic of the Congo, we demonstrate that this is not the case and identify how covert and overt networks are mutually constitutive. While most studies of African brokers have relied on network metaphors like Big Men and social membranes, we consider the embeddedness of covert networks in overt networks explicitly. We perform two analyses on a large original dataset encompassing 396 partially overlapping ego-nets obtained from a hybrid link-tracing design. An ego-net analysis reveals a large degree of homophily and a deep embeddedness of the different networks. A multilevel exponential random graph model fitted to the reconstructed network of a 110-node subset shows that demobilised combatants are the actors likely to broker between armed groups, state forces, and civilian blocs, suggesting their capacity to broker peace or foment war. Funding Agencies|UK Aid from the UK Department for International Development (DFID); Centre for Public Authority and International Development at LSE; ESRC GCRFUK Research & Innovation (UKRI)Economic & Social Research Council (ESRC) [ES/P008038/1]; Collecting and analyzing secondary covert social network data project - Leverhulme TrustLeverhulme Trust [RPG-2013-140]; DFID-ESRC Poverty Alleviation ProgrammeUK Research & Innovation (UKRI)Economic & Social Research Council (ESRC) |
| Databáze: | OpenAIRE |
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