通过两国联系追踪抽样测量跨国社会场
Measuring transnational social fields through binational link-tracing sampling
摘要：
我们提出了两国链接追踪抽样设计，这是一种创新的数据汇集方法，用于从跨国社会领域进行抽样，即，包括移民和非移民的跨国网络。本文展示了这种设计的实际挑战，样本的代表性和网络的质量。我们进行了303个面对面的结构化访谈的社会人口变量，移民轨迹和个人网络的人生活在罗马尼亚移民发送社区（Dâmbovia）和移民接收西班牙城镇（卡斯特利翁），同时在这两个网站。将个人网络相互连接，我们构建了一个多层复杂网络结构，其中嵌入了4，855个提名人，5，477个有向关系（提名）和2，540条边。结果表明，参与者的独特识别是一个特别困难的挑战，数据的代表性不是最佳的（同质性观察到的属性被检测到的提名模式），和关系和属性数据允许探索的社会组织的罗马尼亚移民飞地卡斯特利翁，以及其连接到其他地方。此外，我们提供了方法上的建议，以改善跨国网络的移民链接跟踪采样。我们的研究有助于将社会网络分析应用于国际移民研究的新兴努力。
英文摘要：
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 (Dâmboviţa) and in a migration receiving Spanish town (Castellón), 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 Castellón, 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.
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