Beyond the Matrix: Visual Methods for Qualitative Network Research
Beyond the Matrix: Visual Methods for Qualitative Network Research
复制标题
超越矩阵：定性网络研究的可视化方法
DOI：
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发表时间：
2019
影响因子：
5.6
通讯作者：
C. Stein
中科院分区：
文献类型：
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作者：
L. Jaspersen;C. Stein
网络研究仍然以涉及分析存储在数据矩阵中的数字数据的方法为主，目的是识别隐藏的社会结构的影响。虽然这样的研究在人际、单位和组织间层面上促进了我们对社会网络的理解，但不断有人呼吁网络研究关注与关系和网络结构相关的情境意义。在这篇文章中，我们提出了一个关于社会网络分析的定性方法的新生文献，通过汇集来自整个社会科学的视觉网络研究的发展。我们介绍了使用网络地图收集网络数据的三种视觉方法：参与式网络制图、网络地图访谈和视觉网络调查。通过我们在组织间领域研究中的三个实证例子，我们展示了这些方法如何用于收集定性和定量的关系数据，以及它们如何与其他定性方法和社会网络分析进行三角测量。我们评估了所提出的方法的优点和局限性，并得出结论，视觉网络研究是对商业和管理研究中现有网络研究方法的有益补充。
Network research remains dominated by approaches involving the analysis of numerical data stored in data matrices with the aim of identifying the effects of hidden social structures. While such research has advanced our understanding of social networks at the inter‐personal, inter‐unit and inter‐organizational level, repeated calls have been made for network research to attend to the situated meanings attached to both relationships and network structures. In this article, we advance a nascent literature on qualitative methods for social network analysis by drawing together developments in visual network research from across the social sciences. We introduce a typology of three visual methods for the collection of network data using network maps: participatory network mapping, network map interviews and visual network surveys. Drawing on three empirical examples from our research in the inter‐organizational domain, we demonstrate how these methods can be used for the collection of qualitative and quantitative relational data, and how they can be triangulated with other qualitative methods and social network analysis. We evaluate the merits and limitations of the methods presented and conclude that visual network research is a useful addition to existing methods for network research in business and management studies.