The form and evolution of international migration networks, 1990-2015.

Autor: Abel GJ; Asian Demographic Research Institute, School of Sociology and Political Science, Shanghai University, Shanghai, China.; Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna), International Institute for Applied Systems Analysis, Laxenburg, Austria., DeWaard J; Department of Sociology and Minnesota Population Center, University of Minnesota, Minneapolis, Minnesota, USA., Ha JT; Institute for Circular Economy Development, Vietnam National University, Ho Chi Minh City, Vietnam., Almquist ZW; Department of Sociology, Center for Demography and Social Ecology and eScience Institute, University of Washington, Seattle, Washington, USA.
Jazyk: angličtina
Zdroj: Population, space and place [Popul Space Place] 2021 Apr; Vol. 27 (3). Date of Electronic Publication: 2021 Feb 16.
DOI: 10.1002/psp.2432
Abstrakt: Presently, there is no agreed upon data-driven approach for identifying the geographic boundaries of migration networks that international migration systems are ultimately manifested in. Drawing from research on community detection methods, we introduce and apply the Information Theoretic Community Detection Algorithm for identifying and studying the geographic boundaries of migration networks. Using a new set of estimates of country-to-country migration flows every 5 years from 1990 to 1995 to 2010-2015, we trace the form and evolution of international migration networks over the past 25 years. Consistent with the concept of dynamic stability, we show that the number, size and internal country compositions of international migration networks have been remarkably stable over time; however, we also document many short-term fluctuations. We conclude by reflecting on the spirit of our work in this paper, which is to promote consensus around tools and best practices for identifying and studying international migration networks.
Competing Interests: CONFLICT OF INTEREST The authors declare no conflict of interest.
Databáze: MEDLINE
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