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Global Spatio-Temporal Patterns in Human Migration: A Complex Network Perspective

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  • Kyle F Davis
  • Paolo D'Odorico
  • Francesco Laio
  • Luca Ridolfi

Abstract

Migration is a powerful adaptive strategy for humans to navigate hardship and pursue a better quality of life. As a universal vehicle facilitating exchanges of ideas, culture, money and goods, international migration is a major contributor to globalization. Consisting of countries linked by multiple connections of human movements, global migration constitutes a network. Despite the important role of human migration in connecting various communities in different parts of the world, the topology and behavior of the international migration network and its changes through time remain poorly understood. Here we show that the global human migration network became more interconnected during the latter half of the twentieth century and that migrant destination choice partly reflects colonial and postcolonial histories, language, religion, and distances. From 1960 to 2000 we found a steady increase in network transitivity (i.e. connectivity between nodes connected to the same node), a decrease in average path length and an upward shift in degree distribution, all of which strengthened the ‘small-world’ behavior of the migration network. Furthermore, we found that distinct groups of countries preferentially interact to form migration communities based largely on historical, cultural and economic factors.

Suggested Citation

  • Kyle F Davis & Paolo D'Odorico & Francesco Laio & Luca Ridolfi, 2013. "Global Spatio-Temporal Patterns in Human Migration: A Complex Network Perspective," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-8, January.
  • Handle: RePEc:plo:pone00:0053723
    DOI: 10.1371/journal.pone.0053723
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    2. Lillo, Felipe & García, Leidy & Santander, Valentín, 2017. "Dynamics of global remittances: A graph-based analysis," Mathematical Social Sciences, Elsevier, vol. 87(C), pages 64-71.
    3. Wangbao Liu & Quan Hou & Zhihao Xie & Xin Mai, 2020. "Urban Network and Regions in China: An Analysis of Daily Migration with Complex Networks Model," Sustainability, MDPI, vol. 12(8), pages 1-12, April.
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    5. Małgorzata Bartosik-Purgat & Barbara Jankowska, 2017. "The Use of Social Networking Sites in Job Related Activities: A Cross-cultural Comparison," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 5(2), pages 177-193.
    6. Luis E C Rocha & Petter Holme & Claudio D G Linhares, 2022. "The global migration network of sex-workers," Journal of Computational Social Science, Springer, vol. 5(1), pages 969-985, May.
    7. Porat, Idan & Benguigui, Lucien, 2021. "Global migration topology analysis and modeling of directed flow network 2006–2010," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    8. Rodolfo Metulini & Stefania Tamea & Francesco Laio & Massimo Riccaboni, 2016. "The Water Suitcase of Migrants: Assessing Virtual Water Fluxes Associated to Human Migration," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-13, April.
    9. Jan Brzozowski, 2017. "Immigrant Entrepreneurship and Economic Adaptation: A Critical Analysis," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 5(2), pages 159-176.
    10. Fagiolo, Giorgio & Santoni, Gianluca, 2015. "Human-mobility networks, country income, and labor productivity," Network Science, Cambridge University Press, vol. 3(3), pages 377-407, September.
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