Measuring transnational social fields through binational link-tracing sampling.

We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called "transnational social fields", i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this metho...

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Autores principales:	Marian-Gabriel Hâncean, Miranda Jessica Lubbers, José Luis Molina
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/72ef137ea3874ef982497bcff9bb62e8
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spelling	oai:doaj.org-article:72ef137ea3874ef982497bcff9bb62e82021-12-02T20:15:49ZMeasuring transnational social fields through binational link-tracing sampling.1932-620310.1371/journal.pone.0253042https://doaj.org/article/72ef137ea3874ef982497bcff9bb62e82021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253042https://doaj.org/toc/1932-6203We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called "transnational social fields", i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this methodology and its empirical implementation, and evaluates the features of the resulting networks (sample), with the aim to guide future research. 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 (Dâmbovița) and in a migration receiving Spanish town (Castellón). 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 link-tracing nomination patterns are affected by sex and residence homophily. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.Marian-Gabriel HânceanMiranda Jessica LubbersJosé Luis MolinaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253042 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marian-Gabriel Hâncean Miranda Jessica Lubbers José Luis Molina Measuring transnational social fields through binational link-tracing sampling.
description	We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called "transnational social fields", i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this methodology and its empirical implementation, and evaluates the features of the resulting networks (sample), with the aim to guide future research. 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 (Dâmbovița) and in a migration receiving Spanish town (Castellón). 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 link-tracing nomination patterns are affected by sex and residence homophily. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.
format	article
author	Marian-Gabriel Hâncean Miranda Jessica Lubbers José Luis Molina
author_facet	Marian-Gabriel Hâncean Miranda Jessica Lubbers José Luis Molina
author_sort	Marian-Gabriel Hâncean
title	Measuring transnational social fields through binational link-tracing sampling.
title_short	Measuring transnational social fields through binational link-tracing sampling.
title_full	Measuring transnational social fields through binational link-tracing sampling.
title_fullStr	Measuring transnational social fields through binational link-tracing sampling.
title_full_unstemmed	Measuring transnational social fields through binational link-tracing sampling.
title_sort	measuring transnational social fields through binational link-tracing sampling.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/72ef137ea3874ef982497bcff9bb62e8
work_keys_str_mv	AT mariangabrielhancean measuringtransnationalsocialfieldsthroughbinationallinktracingsampling AT mirandajessicalubbers measuringtransnationalsocialfieldsthroughbinationallinktracingsampling AT joseluismolina measuringtransnationalsocialfieldsthroughbinationallinktracingsampling
_version_	1718374533283446784

Measuring transnational social fields through binational link-tracing sampling.

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