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Computational Text Analysis of a Scientific Resilience Management Corpus: Environmental Insights and Implications
Journal of Environmental Informatics ( IF 6.0 ) Pub Date : 2019-01-01 , DOI: 10.3808/jei.201900423
J. Nassour , , D. Leykin , M. Elhadad , O. Cohen , , , , , ,

Resilience is a multifaceted concept describing the ability to cope with change or disruption. Its importance in the era of emergency preparedness and response, combined with its multidisciplinary attributes, have led researches to study similarities and differences in the meaning of resilience across various fields. A systematic literature review, conducted in the field of resilience management by the DARWIN project, yielded a scientific corpus of 419 articles. In the present study, automated text-analysis approaches were used to investigate this corpus and generate insights, aiming at understanding resilience management. Three complementary computational analyses were employed: (a) topic modeling to understand the different topics or fields discussed in the articles; (b) concept maps to provide a synthetic view of key concepts in the domain and their relations; (c) psycho-linguistic analysis to identify significant psychological categories addressed in the corpus. The topic model identified four key topics: Environmental/Socioecological aspects, Organizational/Operational aspects, Health, and Infrastructure/Resource Management. The concept map recognized concepts at a finer granularity level and depicted them into five main clusters with relations between them, reflecting key dimensions leading to resilience management. The psycho-linguistic analysis highlighted the importance of psychological processes within resilience management. This study identified important aspects that need to be addressed when designing resilience management frameworks, such as rehabilitation period and the role of public.

中文翻译:

科学弹性管理语料库的计算文本分析:环境洞察力和影响

弹性是一个多方面的概念,描述了应对变化或破坏的能力。它在应急准备和响应时代的重要性,加上它的多学科属性,促使研究人员研究不同领域的弹性含义的异同。达尔文项目在复原力管理领域进行的系统文献综述产生了 419 篇文章的科学语料库。在本研究中,自动文本分析方法用于调查该语料库并产生见解,旨在了解弹性管理。采用了三种互补的计算分析:(a) 主题建模以了解文章中讨论的不同主题或领域;(b) 概念图,提供领域中关键概念及其关系的综合视图;(c) 心理语言分析,以确定语料库中涉及的重要心理类别。主题模型确定了四个关键主题:环境/社会生态方面、组织/运营方面、健康和基础设施/资源管理。概念图在更细的粒度级别识别概念,并将它们描绘成五个主要集群,它们之间存在关系,反映导致弹性管理的关键维度。心理语言学分析强调了心理过程在复原力管理中的重要性。该研究确定了在设计复原力管理框架时需要解决的重要方面,例如康复期和公众的作用。
更新日期:2019-01-01
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