经济地理学
复杂网络
聚类分析
人类迁徙
人口
分布(数学)
全球网络
地理
计算机科学
社会学
人口学
人工智能
数学
电信
数学分析
万维网
作者
Wensha Gou,Siyu Huang,Qinghua Chen,Jiawei Chen,Xiaomeng Li
出处
期刊:Complexity
[Hindawi Limited]
日期:2020-08-25
卷期号:2020: 1-17
被引量:10
摘要
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.
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