Complex network of United States migration

Abstract Economists and social scientists have studied the human migration extensively. However, the complex network of human mobility in the United States (US) is not studied in depth. In this paper, we analyze migration network between counties and states in the US between 2000 and 2015 to analyze...

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Main Authors: Batyr Charyyev, Mehmet Hadi Gunes
Format: Article
Language:English
Published: SpringerOpen 2019-01-01
Series:Computational Social Networks
Online Access:http://link.springer.com/article/10.1186/s40649-019-0061-6
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spelling doaj-053d056bac794d97ac5c80d6cebd9d9e2021-04-02T07:33:22ZengSpringerOpenComputational Social Networks2197-43142019-01-016112810.1186/s40649-019-0061-6Complex network of United States migrationBatyr Charyyev0Mehmet Hadi Gunes1Department of Computer Science and Engineering, University of Nevada RenoDepartment of Computer Science and Engineering, University of Nevada RenoAbstract Economists and social scientists have studied the human migration extensively. However, the complex network of human mobility in the United States (US) is not studied in depth. In this paper, we analyze migration network between counties and states in the US between 2000 and 2015 to analyze the overall structure of US migration and yearly changes using temporal analysis. We aggregated network on different time windows and analyzed for both county and state level. Analyzing flow between US counties and states, we focus on the migration during different periods such as economic prosperity of the housing boom and economic hardship of the housing bust. We observed that nodes at county and state level usually remain active, but there are considerable fluctuations on links. This indicates that migration patterns change over the time. However, we could identify a backbone at both county and state levels using disparity filter. Finally, we analyze impact of the political and socioeconomic factors on the migration. Using gravity model, we observe that population, political affiliation, poverty, and unemployment rate have influence on US migration.http://link.springer.com/article/10.1186/s40649-019-0061-6
collection DOAJ
language English
format Article
sources DOAJ
author Batyr Charyyev
Mehmet Hadi Gunes
spellingShingle Batyr Charyyev
Mehmet Hadi Gunes
Complex network of United States migration
Computational Social Networks
author_facet Batyr Charyyev
Mehmet Hadi Gunes
author_sort Batyr Charyyev
title Complex network of United States migration
title_short Complex network of United States migration
title_full Complex network of United States migration
title_fullStr Complex network of United States migration
title_full_unstemmed Complex network of United States migration
title_sort complex network of united states migration
publisher SpringerOpen
series Computational Social Networks
issn 2197-4314
publishDate 2019-01-01
description Abstract Economists and social scientists have studied the human migration extensively. However, the complex network of human mobility in the United States (US) is not studied in depth. In this paper, we analyze migration network between counties and states in the US between 2000 and 2015 to analyze the overall structure of US migration and yearly changes using temporal analysis. We aggregated network on different time windows and analyzed for both county and state level. Analyzing flow between US counties and states, we focus on the migration during different periods such as economic prosperity of the housing boom and economic hardship of the housing bust. We observed that nodes at county and state level usually remain active, but there are considerable fluctuations on links. This indicates that migration patterns change over the time. However, we could identify a backbone at both county and state levels using disparity filter. Finally, we analyze impact of the political and socioeconomic factors on the migration. Using gravity model, we observe that population, political affiliation, poverty, and unemployment rate have influence on US migration.
url http://link.springer.com/article/10.1186/s40649-019-0061-6
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