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Comprehensive Study of Evolution of Global Environmental Quality Research Using Informetric Co-Word Network
Journal of Environmental Informatics ( IF 7 ) Pub Date : 2021-03-25 , DOI: 10.3808/jei.202100449
Z. La , , L. H. Chai ,

Global environmental quality is a rapidly developing and complicated subject in need of a new method for evolutionary analyses. This paper proposes an informetric dynamic co-word network to study the evolution of global environmental quality research (GEQR), making a significant contribution to the available literature. First, it was observed that GEQR has been vigorously developing and hotspots have emerged through a self-organized adjustment process, which other methods lacked. Second, small-world and scale-free effects, which are mechanisms of an evolving knowledge system (KS), were identified in GEQR’s KS. Third, the dynamic co-word network yielded topological patterns and robust clustering in GEQR. An assessment strategy map/table of GEQR has been accordingly proposed as a mined innovative function of co-word networks, which provides new holistic understanding of global environmental quality. Thus, our studies on GEQR evolution using this informetric dynamic co-word network method may help researchers or managers learn GEQR development mechanisms, allowing for further topical selection and policy management of GEQR. Beyond GEQR, the informetric dynamic co-word network method may also provide a new universal method for evolutionary analysis of many other environmental problems.

中文翻译:

使用信息计量共词网络综合研究全球环境质量研究的演变

全球环境质量是一个快速发展和复杂的课题,需要一种新的进化分析方法。本文提出了一个信息计量动态共词网络来研究全球环境质量研究(GEQR)的演变,对现有文献做出了重大贡献。首先,观察到GEQR正在蓬勃发展,热点通过自组织调整过程出现,这是其他方法所缺乏的。其次,GEQR 的 KS 确定了小世界和无标度效应,它们是不断发展的知识系统 (KS) 的机制。第三,动态共词网络在 GEQR 中产生了拓扑模式和稳健的聚类。相应地提出了 GEQR 的评估策略图/表作为共词网络的挖掘创新功能,它提供了对全球环境质量的全新整体理解。因此,我们使用这种信息计量动态共词网络方法对 GEQR 演化的研究可以帮助研究人员或管理人员了解 GEQR 的发展机制,从而进一步进行 GEQR 的主题选择和政策管理。除了 GEQR,信息计量动态共词网络方法还可以为许多其他环境问题的进化分析提供一种新的通用方法。
更新日期:2021-03-25
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