Structure and Dynamic of Global Population Migration Network
People are the most important factors of economy and the primary carriers of social culture. Cross-border migration brings economic and cultural impacts to the origin and destination and is also a key to reflect the international relations of related countries. In fact, the migration relationships o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/4359023 |
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| author | Wensha Gou Siyu Huang Qinghua Chen Jiawei Chen Xiaomeng Li |
| author_facet | Wensha Gou Siyu Huang Qinghua Chen Jiawei Chen Xiaomeng Li |
| author_sort | Wensha Gou |
| collection | DOAJ |
| description | People are the most important factors of economy and the primary carriers of social culture. Cross-border migration brings economic and cultural impacts to the origin and destination and is also a key to reflect the international relations of related countries. In fact, the migration relationships of countries are complex and multilateral, but most traditional migration models are bilateral. Network theories could provide a better description of global migration to show the structure and statistical characteristics more clearly. Based on the estimated migration data and disparity filter algorithm, the networks describing the global multilateral migration relationships have been extracted among 200 countries over fifty years. The results show that the global migration networks during 1960–2015 exhibit a clustering and disassortative feature, implying globalized and multipolarized changes of migration during these years. The networks were embed into a Poincaré disk, yielding a typical and hierarchical “core-periphery” structure, which is associated with angular density distribution, and has been used to describe the “multicentering” trend since 1990s. Analysis on correlation and evolution of communities indicates the stability of most communities, yet some structural changes still exist since 1990s, which reflect that the important historical events are contributable to regional and even global migration patterns. |
| format | Article |
| id | doaj-art-36c7c25ab7ae439b938fa6f15b1eb66b |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-36c7c25ab7ae439b938fa6f15b1eb66b2025-02-03T01:05:22ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/43590234359023Structure and Dynamic of Global Population Migration NetworkWensha Gou0Siyu Huang1Qinghua Chen2Jiawei Chen3Xiaomeng Li4School of Systems Science, Beijing Normal University, Beijing, ChinaSchool of Systems Science, Beijing Normal University, Beijing, ChinaSchool of Systems Science, Beijing Normal University, Beijing, ChinaSchool of Systems Science, Beijing Normal University, Beijing, ChinaSchool of Systems Science, Beijing Normal University, Beijing, ChinaPeople are the most important factors of economy and the primary carriers of social culture. Cross-border migration brings economic and cultural impacts to the origin and destination and is also a key to reflect the international relations of related countries. In fact, the migration relationships of countries are complex and multilateral, but most traditional migration models are bilateral. Network theories could provide a better description of global migration to show the structure and statistical characteristics more clearly. Based on the estimated migration data and disparity filter algorithm, the networks describing the global multilateral migration relationships have been extracted among 200 countries over fifty years. The results show that the global migration networks during 1960–2015 exhibit a clustering and disassortative feature, implying globalized and multipolarized changes of migration during these years. The networks were embed into a Poincaré disk, yielding a typical and hierarchical “core-periphery” structure, which is associated with angular density distribution, and has been used to describe the “multicentering” trend since 1990s. Analysis on correlation and evolution of communities indicates the stability of most communities, yet some structural changes still exist since 1990s, which reflect that the important historical events are contributable to regional and even global migration patterns.http://dx.doi.org/10.1155/2020/4359023 |
| spellingShingle | Wensha Gou Siyu Huang Qinghua Chen Jiawei Chen Xiaomeng Li Structure and Dynamic of Global Population Migration Network Complexity |
| title | Structure and Dynamic of Global Population Migration Network |
| title_full | Structure and Dynamic of Global Population Migration Network |
| title_fullStr | Structure and Dynamic of Global Population Migration Network |
| title_full_unstemmed | Structure and Dynamic of Global Population Migration Network |
| title_short | Structure and Dynamic of Global Population Migration Network |
| title_sort | structure and dynamic of global population migration network |
| url | http://dx.doi.org/10.1155/2020/4359023 |
| work_keys_str_mv | AT wenshagou structureanddynamicofglobalpopulationmigrationnetwork AT siyuhuang structureanddynamicofglobalpopulationmigrationnetwork AT qinghuachen structureanddynamicofglobalpopulationmigrationnetwork AT jiaweichen structureanddynamicofglobalpopulationmigrationnetwork AT xiaomengli structureanddynamicofglobalpopulationmigrationnetwork |