摘要
[研究目的]寻找国内情报学领域期刊论文研究热点的分布特性,探讨我国情报学领域学术研究热点的基本演变轨迹。[研究方法]选择国内情报学领域21种期刊论文的关键词进行统计分析,统计时间从2000年至2020年,统计数据在万方数据库中进行。首先选择年度排序在前30次以上的关键词作为热点研究的统计对象,由此从中选出60个关键词作为情报期刊的基本热点关键词。其次用选出的60个关键词在万方数据库的全学科(注:这里的全学科指在万方数据库收录的所有学科)关键词中进行检索,检索时间为2000年至2020年,最后对比分析情报期刊的热点关键词在全学科中的个性化特征和全局性分布特征。[研究结论]实验结果表明,该统计分析揭示了我国情报期刊论文近20年来三个阶段的热点关键词演变轨迹。情报学热点关键词与全学科关键词存在超前和滞后现象,反映了情报学科与全学科具有相互学习和相互推进的发展规律,借此规律对我国未来情报学热点进行预测,预测出我国情报期刊论文未来延续出现和可能出现的72个热点关键词。
[Research purpose]This paper aims to find the distribution characteristics of research hotspots in domestic journals in the field of information science,and explore the basic evolution path of research hotspots in the field of information science in China.[Research method]The key words of 21 journal articles in the field of domestic information science are selected for statistical analysis.The statistical time is from 2000 to 2020,and the statistical data are carried out in the Wanfang database.Firstly,keywords with annual ranking above 30 times are selected as the statistical objects of hot research,and 60 keywords are selected as the basic hot keywords of information journals.Secondly,60 selected keywords are used for retrieval in the keywords of all disciplines in Wanfang database(note:the whole discipline here refers to all disciplines included in Wanfang database).The retrieval time is from 2000 to 2020.Finally,the personalized characteristics and global distribution characteristics of hot keywords in information journals are compared and analyzed.[Research conclusion]The experimental results show that the statistical analysis method reveals the evolution track of hot keywords in three stages of Chinese intelligence journal articles in recent 21 years.Statistical analysis shows that there are leading and lagging phenomena between the hot keywords of information science and the keywords of the whole discipline,which reflects the development law of mutual learning and mutual promotion between information science and the whole discipline.Based on this law,the future hot keywords of information science in China are predicted,and 72 hot keywords that continue to appear and may appear in the future of Chinese information journal articles are predicted.
作者
温有奎
乔晓东
张富财
Wen Youkui;Qiao Xiaodong;Zhang Fucai(Institute of Scientific and Technical Information of China, Beijing 100038;Beijing Wanfang Data Co., Ltd., Beijing 100038)
出处
《情报杂志》
CSSCI
北大核心
2022年第1期164-169,共6页
Journal of Intelligence
基金
国家自然科学基金面上项目“文摘创新点挖掘的语义识别与关联发现方法研究”(编号:71673213)。
关键词
情报学期刊
期刊论文
热点关键词
热点预测
information science journals
journal articles
hot keywords
hot prediction
