摘要
通过对情报学领域的9种主要期刊在2010年至2014年所发表的13152篇论文进行分析与研究,统计文章关键词的出现次数,进而通过灰色预测GM(1,1)模型,对最具有代表性的8个关键词的数据进行计算,预测这些关键词所代表的研究主题在之后两年可能出现的频率,并结合时代发展趋势进行分析。
This paper analyzes 13152 articles published in 9 main journals in the field of information science during 2010 to 2014, and makes survey on statistics of article keywords. Based on grey prediction model GM（1,1）, 8 representative keywords are calculated and selected, then probabilities of research about these 8 keywords in the following two years are forecasted, taking era development trend into account.
出处
《情报科学》
CSSCI
北大核心
2016年第7期3-6,30,共5页
Information Science
基金
国家社会科学基金重点项目(14ATQ005)
关键词
情报学
文献分析
预测
information science
literature analysis
forecasting
