How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.

What drives the formation and evolution of the global refugee flow network over time? Refugee flows in particular are widely explained as the result of pursuits for physical security, with recent research adding geopolitical considerations for why states accept refugees. We refine these arguments an...

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Main Authors: Justin Schon, Jeffrey C Johnson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0245712
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spelling doaj-1d948f1978cd46e39ba4cb2b59e1741e2021-06-19T05:08:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01161e024571210.1371/journal.pone.0245712How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.Justin SchonJeffrey C JohnsonWhat drives the formation and evolution of the global refugee flow network over time? Refugee flows in particular are widely explained as the result of pursuits for physical security, with recent research adding geopolitical considerations for why states accept refugees. We refine these arguments and classify them into explanations of people following existing migration networks and networks of inter-state amity and animosity. We also observe that structural network interdependencies may bias models of migration flows generally and refugee flows specifically. To account for these dependencies, we use a dyadic hypothesis testing method-Multiple Regression- Quadratic Assignment Procedure (MR-QAP). We estimate MR-QAP models for each year during the 1991-2016 time period. K-means clustering analysis with visualization supported by multi-dimensional scaling allows us to identify categories of variables and years. We find support for the categorization of drivers of refugee flows into migration networks and inter-state amity and animosity. This includes key nuance that, while contiguity has maintained a positive influence on refugee flows, the magnitude of that influence has declined over time. Strategic rivalry also has a positive influence on refugee flows via dyad-level correlations and its effect on the structure of the global refugee flow network. In addition, we find clear support for the global refugee flow network shifting after the Arab Spring in 2011, and drivers of refugee flows shifting after 2012. Our findings contribute to the study of refugee flows, international migration, alliance and rivalry relationships, and the application of social network analysis to international relations.https://doi.org/10.1371/journal.pone.0245712
collection DOAJ
language English
format Article
sources DOAJ
author Justin Schon
Jeffrey C Johnson
spellingShingle Justin Schon
Jeffrey C Johnson
How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.
PLoS ONE
author_facet Justin Schon
Jeffrey C Johnson
author_sort Justin Schon
title How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.
title_short How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.
title_full How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.
title_fullStr How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.
title_full_unstemmed How inter-state amity and animosity complement migration networks to drive refugee flows: A multi-layer network analysis, 1991-2016.
title_sort how inter-state amity and animosity complement migration networks to drive refugee flows: a multi-layer network analysis, 1991-2016.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description What drives the formation and evolution of the global refugee flow network over time? Refugee flows in particular are widely explained as the result of pursuits for physical security, with recent research adding geopolitical considerations for why states accept refugees. We refine these arguments and classify them into explanations of people following existing migration networks and networks of inter-state amity and animosity. We also observe that structural network interdependencies may bias models of migration flows generally and refugee flows specifically. To account for these dependencies, we use a dyadic hypothesis testing method-Multiple Regression- Quadratic Assignment Procedure (MR-QAP). We estimate MR-QAP models for each year during the 1991-2016 time period. K-means clustering analysis with visualization supported by multi-dimensional scaling allows us to identify categories of variables and years. We find support for the categorization of drivers of refugee flows into migration networks and inter-state amity and animosity. This includes key nuance that, while contiguity has maintained a positive influence on refugee flows, the magnitude of that influence has declined over time. Strategic rivalry also has a positive influence on refugee flows via dyad-level correlations and its effect on the structure of the global refugee flow network. In addition, we find clear support for the global refugee flow network shifting after the Arab Spring in 2011, and drivers of refugee flows shifting after 2012. Our findings contribute to the study of refugee flows, international migration, alliance and rivalry relationships, and the application of social network analysis to international relations.
url https://doi.org/10.1371/journal.pone.0245712
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