From Interviews to Social Network Analysis: An Approach for Revealing Social Networks Embedded in Narrative Data
From Interviews to Social Network Analysis: An Approach for Revealing Social Networks Embedded in Narrative Data
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从访谈到社交网络分析：揭示嵌入叙事数据中的社交网络的方法
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Ken Riopelle
中科院分区：
文献类型：
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作者：
W. L. McKether;Julia Gluesing;Ken Riopelle
本文描述了用于将访谈数据转换为MultiNet可读格式以进行社交网络分析的发现过程。基于Willie McKether 2005年的博士论文研究，作者描述了用于收集和存储在Microsoft Word中的访谈数据的步骤，将访谈导出到ATLAS.ti进行编码的准备过程，编码过程，以及允许他们将编码的定性数据从ATLAS.ti导出到SPSS并最终导出到MultiNet进行社会网络分析的转换路径。这项研究是重要的，因为它描述了一个可复制的转换技术，可以使用经验丰富的学者和那些不熟悉的网络分析程序和转换的可能性范围。
This article describes the process of discovery used to convert interview data into a format readable into MultiNet for social network analysis. Based on the 2005 doctoral dissertation research of Willie McKether, the authors describe the steps used to collect and store interview data in Microsoft Word, the preparation process for exporting the interviews to ATLAS.ti for coding, the coding process, and the conversion path that allowed them to export the coded qualitative data from ATLAS.ti to SPSS and ultimately to MultiNet for social network analysis. This study is significant because it describes a replicable conversion technique that can be used by experienced scholars and those unfamiliar with the range of network analysis programs and conversion possibilities.