{"title":"国际移民的网络分析:预测移民的纵向趋势和先行因素","authors":"George A. Barnett, Yoonjae Nam","doi":"10.1111/glob.12455","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":47882,"journal":{"name":"Global Networks-A Journal of Transnational Affairs","volume":"24 2","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A network analysis of international migration: Longitudinal trends and antecedent factors predicting migration\",\"authors\":\"George A. Barnett, Yoonjae Nam\",\"doi\":\"10.1111/glob.12455\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":47882,\"journal\":{\"name\":\"Global Networks-A Journal of Transnational Affairs\",\"volume\":\"24 2\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Networks-A Journal of Transnational Affairs\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/glob.12455\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Networks-A Journal of Transnational Affairs","FirstCategoryId":"90","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/glob.12455","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
A network analysis of international migration: Longitudinal trends and antecedent factors predicting migration
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.