摘要
以CNKI中国学术期刊网络出版总库为数据源,结合Bibexcel、Ucinet和Netdraw等工具下的共词聚类分析以及SPSS软件下的多尺度分析,对1996—2014年主题词为"空气污染"的文献进行计量分析,探究高频关键词之间的关联性。最后结合Excel建立战略坐标系对聚类结果加以验证,以期可靠地分析我国近20年来空气污染领域的研究趋势及研究热点,明确空气污染领域在未来几年的重点研究方向,为我国空气污染的研究工作提供可靠支持。
Abstract: In this paper, taking CNKI China Academic Journal Network Publishing Database as data source, combined with the multi- dimensional statistical analysis of SPSS software and the co-word cluster analysis of Bibexcel, Ucinet and Netdraw tools, the literatures with the subject heading air pollution from 1996 to 2014 were statistically analyzed to explore the correlation among high-frequency key- words. In order to reliably analyze the research hotspot and trend about air pollution in recent twenty years, and clear the key research directions in the field of air pollution, the clustering results were verified by the strategic coordinate system established with Excel, which would afford some support for the research on air pollution in our country.
出处
《华北水利水电大学学报(自然科学版)》
2016年第3期76-81,共6页
Journal of North China University of Water Resources and Electric Power:Natural Science Edition
基金
国家自然科学基金项目(51279072)
关键词
空气污染
关键词
文献计量
研究热点
air pollution
keywords
bibliometric analysis
research hotspot