Measuring transnational social fields through binational link-tracing sampling
Hâncean, Marian-Gabriel (University of Bucharest. Department of Sociology)
Lubbers, Miranda J.. (Universitat Autònoma de Barcelona. Departament d'Antropologia Social i Cultural)
Molina González, José Luis (Universitat Autònoma de Barcelona. Departament d'Antropologia Social i Cultural)

Data:	2020
Resum:	We advance binational link-tracing sampling design, an innovative data collection methodology for sampling from transnational social fields, i. e. , transnational networks embedding migrants and non-migrants. This paper shows the practical challenges of such a design, the representativeness of the samples and the qualities of the resulted networks. We performed 303 face-to-face structured interviews on sociodemographic variables, migration trajectories and personal networks of people living in a Romanian migration sending community (D\^ambovi\c{t}a) and in a migration receiving Spanish town (Castell\'on), simultaneously in both sites. Inter-connecting the personal networks, we built a multi-layered complex network structure embedding 4,855 nominated people, 5,477 directed ties (nominations) and 2,540 edges. Results indicate that the participants' unique identification is a particularly difficult challenge, the representativeness of the data is not optimal (homophily on observed attributes was detected in the nomination patterns), and the relational and attribute data allow to explore the social organization of the Romanian migrant enclave in Castell\'on, as well as its connectivity to other places. Furthermore, we provide methodological suggestions for improving link-tracing sampling from transnational networks of migration. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.
Nota:	37 pages, 8 figures
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió sotmesa a revisió
Matèria:	Transnational social fields ; Social network analysis ; Migration ; Sampling ; Binational link-tracing ; Statistical network models
Publicat a:	arXiv.org

Adreça original: https://arxiv.org/abs/2006.11380
Adreça alternativa: https://arxiv.org/abs/2006.11380v1

Prep-print 38 p, 1.8 MB

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