A network analysis of international migration
Longitudinal trends and antecedent factors predicting migration
Bibliographic Data
| ID | 4263121 |
|---|---|
| Authors | G A Barnett (0000-0002-7511-1886, University of California, Davis), Yoonjae Nam (0000-0002-6968-301X, Department of Culture and Entertainment Kyung Hee University Seoul South Korea, corresponding author) |
| Year | 2024 |
| Volume | 24 |
| Issue | 2 |
| Publication date | 2024-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Global Networks (JOURNAL) |
| Journal identifiers | ISSN: 1470-2266 • E-ISSN: 1471-0374 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/glob.12455 |
| OpenAlex | W4383550944 |
| Language | EN |
| Citations received | 10 |
| References cited | 88 |
Building on previous research, this study investigates the international migration network and its changes from 1990 to 2017. The findings suggest that certain core countries play pivotal roles in shaping global migration by providing economic opportunities or political refuge. Community detection identified nine groups of nations in 2017, indicating regionalization. The study also examined the networks of antecedent factors that reflect both structural factors, such as geography, language, colonial history, political stability and economic differences, as well as transnational interactions, including student flow, trade, Internet flow and remittance, in relation to the international migration network. Applying multiple regression quadratic assignment procedure, it was found that these networks constituted approximately 11% of the migration network's distribution when chain migration was excluded, and 16.5% when it was included
Economic geography · Economic growth · Economics · Geography · Human migration · Political science · Politics · Population · Remittance · Sociology · Computer Science · Demography · Diaspora, migration, transnational identity · Migration and Labor Dynamics · Psychology · Social Capital and Networks · Social Psychology
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| Unique citing works | 10 |
|---|---|
| Citations per year | 3,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |