An abundance of unstructured and loosely structured data on disasters exists and can be analysed using network methods. This paper overviews the use of qualitative data in quantitative social network analysis in disaster research. It discusses two types of networks, each with a relevant major topic in disaster research—that is, (i) whole network approaches to emergency management networks and (ii) personal network approaches to the social support of survivors—and four usable forms of qualitative data. This paper explains five opportunities afforded by these approaches, revolving around their flexibility and ability to account for complex network structures. Next, it presents an empirical illustration that extends the authors' previous work examining the sources and the types of support and barrier experienced by households during long-term recovery from Hurricane (Superstorm) Sandy (2012), wherein quantitative social network analysis was applied to two qualitative datasets. The paper discusses three challenges associated with these approaches, related to the samples, coding, and bias.

中文翻译：

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在灾害研究中利用定性数据进行社交网络分析：机遇、挑战和说明

存在大量非结构化和松散结构化的灾害数据，可以使用网络方法进行分析。本文概述了定性数据在灾害研究中定量社交网络分析中的使用。它讨论了两种类型的网络，每种网络都有一个与灾害研究相关的主要主题，即（i）应急管理网络的整体网络方法和（ii）幸存者社会支持的个人网络方法，以及四种可用的定性形式数据。本文解释了这些方法提供的五个机会，围绕它们的灵活性和解释复杂网络结构的能力。接下来，它提出了一个实证例证，扩展了作者之前的工作，研究了家庭在飓风（超级风暴）桑迪（2012）的长期恢复过程中所经历的支持和障碍的来源和类型，其中定量社交网络分析应用于两个定性数据集。本文讨论了与这些方法相关的三个挑战，涉及样本、编码和偏差。