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Collecting network data from documents to reach non-participatory populations
Social Networks ( IF 2.9 ) Pub Date : 2020-09-24 , DOI: 10.1016/j.socnet.2020.09.004
Tischer Daniel

Collecting social network data is challenging, not least because conventional approaches rely on human participation. However, there are instances where access to research subjects is restricted or non-existent, especially in the high-stakes commercial world. This paper outlines the collection of network data from a relatively obscure financial document – the offering circular. I consider the implications of dealing with a non-participatory population and data that is not produced for social network research. In exploring the process of translating data into social network data I highlight the importance of retaining context and qualitative descriptions in the data. I also consider how different coding strategies impact the network. Finally, I discuss the triangulation, data anonymity and potential ethical-legal implications of collecting data from documents.



中文翻译:

从文档中收集网络数据以达到非参与人群

收集社交网络数据具有挑战性,不仅因为传统方法依赖于人类参与。但是,在某些情况下,访问研究主题的机会受到限制或根本不存在,尤其是在高风险的商业世界中。本文概述了从一个相对模糊的财务文件中收集网络数据的情况-产品发行通告。我考虑了处理非参与性人口和未为社交网络研究生成的数据的含义。在探索将数据转换为社交网络数据的过程中,我强调了在数据中保留上下文和定性描述的重要性。我还考虑了不同的编码策略如何影响网络。最后,我讨论三角剖分,

更新日期:2020-09-24
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