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The form and evolution of international migration networks, 1990–2015
Author(s) -
Abel Guy J.,
DeWaard Jack,
Ha Jasmine Trang,
Almquist Zack W.
Publication year - 2021
Publication title -
population, space and place
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.398
H-Index - 68
eISSN - 1544-8452
pISSN - 1544-8444
DOI - 10.1002/psp.2432
Subject(s) - trace (psycholinguistics) , irregular migration , economic geography , set (abstract data type) , data science , work (physics) , computer science , internal migration , geography , complex network , regional science , sociology , population , world wide web , demography , engineering , mechanical engineering , philosophy , linguistics , programming language
Abstract 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.