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Capturing complexity: Mixing methods in the analysis of a European tobacco control policy network

机译:捕捉复杂性:欧洲烟草控制政策网络分析中的混合方法

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摘要

Social network analysis (SNA), a method which can be used to explore networks in various contexts, has received increasing attention. Drawing on the development of European smoke-free policy, this paper explores how a mixed method approach to SNA can be utilised to investigate a complex policy network. Textual data from public documents, consultation submissions and websites were extracted, converted and analysed using plagiarism detection software and quantitative network analysis, and qualitative data from public documents and 35 interviews were thematically analysed. While the quantitative analysis enabled understanding of the network's structure and components, the qualitative analysis provided in-depth information about specific actors' positions, relationships and interactions. The paper establishes that SNA is suited to empirically testing and analysing networks in EU policymaking. It contributes to methodological debates about the antagonism between qualitative and quantitative approaches and demonstrates that qualitative and quantitative network analysis can offer a powerful tool for policy analysis.
机译:社交网络分析(SNA)是一种可用于在各种情况下探索网络的方法,受到了越来越多的关注。借助欧洲无烟政策的发展,本文探讨了如何利用SNA的混合方法研究复杂的政策网络。使用窃检测软件和定量网络分析法提取,转换和分析来自公共文档,咨询意见和网站的文本数据,并对来自公共文档和35次访谈的定性数据进行主题分析。定量分析使您能够了解网络的结构和组成部分,而定性分析则提供了有关特定参与者的位置,关系和互动的深入信息。本文确定,SNA适合于对欧盟政策制定中的网络进行经验测试和分析。它为定性和定量方法之间的对抗性的方法论辩论做出了贡献,并证明了定性和定量网络分析可以为政策分析提供强大的工具。

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