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Global migration topology analysis and modeling of directed flow network 2006–2010

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  • Porat, Idan
  • Benguigui, Lucien

Abstract

We applied the network theory to the global world migration phenomenon, seen as a directed network (flow of migrants between world countries from 2006 to 2010) and measured different centralities statistics: in and out-degree, in and out-closeness, and clustering coefficient. One of the important findings is that distributions of out-degree and in-degree for immigration and emigration are completely different aspects of the same phenomenon. The out-degree distribution is uniform with a Gaussian distribution when the in-degree distribution is compound by several groups depending on the in-degree and the in-weight. The receptor countries-nodes, which have large values of in-weight, can be divided into two groups: the developed countries (with low clustering coefficient but large values of the in-degree) and a small group of countries (with high clustering coefficient and small in-degree values). The countries-nodes with large out-weight can be divided into two subgroups with a high clustering coefficient. One of these groups is well connected and forms with the group of the developed countries an in-subgroup of diameter 2 thanks to the double links between them. The second group is characterized by low values of the in-degree (some with null value) and is connected to the rest of the network mainly by out-degrees. Finally, the Latin American countries may be seen as a homogeneous fifth group.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:phsmap:v:561:y:2021:i:c:s037843712030635x
    DOI: 10.1016/j.physa.2020.125210
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    References listed on IDEAS

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    1. Benguigui, L. & Porat, I., 2018. "Relationships between centrality measures of networks with diameter 2," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 243-251.
    2. Emmanouil Tranos & Masood Gheasi & Peter Nijkamp, 2015. "International Migration: A Global Complex Network," Environment and Planning B, , vol. 42(1), pages 4-22, February.
    3. 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.
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