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Network Analysis of Internal Migration in Austria

Authors:

Thomas J. Lampoltshammer,

Peter ParycekAuthors Info & Claims

Digital Government: Research and Practice, Volume 2, Issue 3

Article No.: 25, Pages 1 - 24

https://doi.org/10.1145/3447539

Published: 11 July 2021 Publication History

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Abstract

Human migration, and urbanization as its direct consequence, are among the crucial topics in regional and national governance. People’s migration and mobility flows make a network structure, with large cities acting as hubs and smaller settlements as spokes. The essential method by which these phenomena can be analyzed comprehensively is network analysis. With this study, we first contribute to capacity building regarding the analysis of internal (national) migration data by providing a set of network indicators, models, and visualizations tested and argued for in terms of applicability and interpretability for analyzing migration. Second, we contribute to the understanding of the shape and scale of the phenomenon of internal migration, particularly toward urbanization and mobility flows between human settlements (i.e., cities, towns, and villages). Third, we demonstrate the utility of our approach on the example of internal migration flows in Austria on the settlement level and provide a longitudinal analysis for the period from 2002 to 2018. To the best of our knowledge, this is the first time that the key traits of a network of internal migration are identified for a European country, which, when accompanied by additional country analyses, has the potential to reveal the migration patterns in the region and beyond.

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Cited By

Pitoski DMeštrović ASchmeets H(2024)The complex network patterns of human migration at different geographical scales: network science meets regression analysisApplied Network Science10.1007/s41109-024-00635-19:1Online publication date: 9-Jul-2024
https://doi.org/10.1007/s41109-024-00635-1
Mialhe FDe Longueville FHenry S(2024)Explore the complexity of the migration for a rural population from the Philippines using sequence and graph analysisPopulation, Space and Place10.1002/psp.276330:5Online publication date: 18-Mar-2024
https://doi.org/10.1002/psp.2763
Pitoski DBabić KMeštrović A(2023)A new measure of node centrality on schedule-based space-time networks for the designation of spread potentialScientific Reports10.1038/s41598-023-49723-913:1Online publication date: 19-Dec-2023
https://doi.org/10.1038/s41598-023-49723-9
Show More Cited By

Index Terms

Network Analysis of Internal Migration in Austria
1. Applied computing
  1. Computers in other domains
    1. Computing in government
      1. E-government
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Algorithmic game theory and mechanism design
      1. Social networks

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Published In

cover image Digital Government: Research and Practice

Digital Government: Research and Practice Volume 2, Issue 3

Regular Papers

July 2021

102 pages

EISSN:2639-0175

DOI:10.1145/3474845

Editors:
Soon Ae Chun
City University of New York, USA
,
Beth Simone Noveck
The Governance Lab and New York University, USA

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Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 July 2021

Online AM: 07 May 2021

Accepted: 01 January 2021

Revised: 01 October 2020

Received: 01 May 2020

Published in DGOV Volume 2, Issue 3

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Asylum, Migration, and Integration Fund
Austrian Federal Ministry of the Interior

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Cited By

Pitoski DMeštrović ASchmeets H(2024)The complex network patterns of human migration at different geographical scales: network science meets regression analysisApplied Network Science10.1007/s41109-024-00635-19:1Online publication date: 9-Jul-2024
https://doi.org/10.1007/s41109-024-00635-1
Mialhe FDe Longueville FHenry S(2024)Explore the complexity of the migration for a rural population from the Philippines using sequence and graph analysisPopulation, Space and Place10.1002/psp.276330:5Online publication date: 18-Mar-2024
https://doi.org/10.1002/psp.2763
Pitoski DBabić KMeštrović A(2023)A new measure of node centrality on schedule-based space-time networks for the designation of spread potentialScientific Reports10.1038/s41598-023-49723-913:1Online publication date: 19-Dec-2023
https://doi.org/10.1038/s41598-023-49723-9
Lampoltshammer TDe Luca GThurnay L(2022)Digital News and Political Tweets in the Lower Austrian Municipal Elections: A Case Study on Digital Journalism and Political CommunicationSocial Sciences10.3390/socsci1201001812:1(18)Online publication date: 28-Dec-2022
https://doi.org/10.3390/socsci12010018
De Luca GLampoltshammer TParven SScholz J(2022)A Literature Review on the Usage of Agent-Based Modelling to Study Policies for Managing International MigrationSocial Sciences10.3390/socsci1108035611:8(356)Online publication date: 9-Aug-2022
https://doi.org/10.3390/socsci11080356
Nguyen TLe HHoi LPham H(2022)Impact of internal remittance on households' use of bank services: evidence from VietnamJournal of Economics, Finance and Administrative Science10.1108/JEFAS-05-2021-007427:53(139-153)Online publication date: 8-Mar-2022
https://doi.org/10.1108/JEFAS-05-2021-0074

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