Comprehensive Study of Evolution of Global Environmental Quality Research Using Informetric Co-Word Network

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Z. La, L. Chai
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引用次数: 9

Abstract

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 ac- cordingly proposed as a mined innovative function of co-word networks, which provides new holistic understanding of global environ- mental 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.
基于信息计量共词网络的全球环境质量研究演变综合研究
全球环境质量是一门发展迅速的复杂学科,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在自组织调整过程中蓬勃发展并出现热点,这是其他方法所缺乏的。其次,在GEQR的知识系统演化机制中发现了小世界效应和无尺度效应。第三,动态共词网络在GEQR中产生拓扑模式和鲁棒聚类。作为共词网络的挖掘创新函数,本文提出了GEQR评价策略图/表,为全球环境质量的整体认识提供了新的思路。因此,我们利用这种信息计量动态共词网络方法研究GEQR的演化,可以帮助研究人员或管理者了解GEQR的发展机制,从而进一步选择GEQR的主题和政策管理。除了GEQR之外,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。
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来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
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