Using Twitter Data to Estimate the Relationship between Short-term Mobility and Long-term Migration
Author:
Affiliation:
1. University of Washington, Seattle, USA
2. Shanghai University, Shanghai, China
3. Chinese University of Hong Kong, Hong Kong, China
4. Qatar Computing Research Institute, Doha, Qatar
5. Austrian Academy of Sciences, Vienna, Austria
Funder
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Austrian Academy of Sciences
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3091478.3091496
Reference27 articles.
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3. Stuart Basten Tomáš Sobotka Krystof Zeman M. Jalal Abassi-Shavazi Alicia Adsera Jan Van Bavel Caroline Berghammer Minja Kim Choe Tomas Frejka Henri Leridon et al. 2014. Future fertility in low fertility countries. (2014). Stuart Basten Tomáš Sobotka Krystof Zeman M. Jalal Abassi-Shavazi Alicia Adsera Jan Van Bavel Caroline Berghammer Minja Kim Choe Tomas Frejka Henri Leridon et al. 2014. Future fertility in low fertility countries. (2014).
4. Hukou System Reform and Unification of Rural-urban Social Welfare
5. European Commission. 2007. Regulation (EC) No 862/2007 of the European Parliament and of the Council of 11 July 2007 on Community statistics on migration and international protection. (2007). http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2007:199:0023:0029:EN:PDF. European Commission. 2007. Regulation (EC) No 862/2007 of the European Parliament and of the Council of 11 July 2007 on Community statistics on migration and international protection. (2007). http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2007:199:0023:0029:EN:PDF.
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