基于Sci^2的国外图书馆学情报学研究主题演变分析——以共词分析为例  

The Research Topics Evolution of Foreign Library and Information Science Based on Sci^2: Taking Co-word Analysis as an Example

作　　者：邱小花[1] 李国俊[2] 肖明[3] 

机构地区：[1]中央财经大学图书馆,北京100081 [2]北京科技大学图书馆,北京100083 [3]北京师范大学政府管理学院,北京100875

出　　处：《情报杂志》2013年第12期110-118,共9页Journal of Intelligence

基　　金：北京科技大学中央高校基本科研业务费专项资金资助"基于科学计量学的知识服务研究"(编号:FRF-BR-13-016);国家社会科学基金项目"基于多方法融合的中外图书馆学情报学知识图谱实证研究"(编号:11BTQ019)资助

摘　　要：关键词是对文献的高度浓缩,通过分析关键词在不同文献中出现的频率,并对关键词进行聚类,可以很好地了解学科在不同时间段的发展重点和研究前沿。数据源参考JCR收录的图书情报领域的83种期刊,共获得16 302个关键词,然后利用知识图谱工具Sci2对关键词进行共词分析。在共词分析图谱中Sci2不仅能很好地呈现关键词之间的等级所属关系,还能通过关键词节点的变化情况很清晰地展示国外图书馆学情报学的发展重点及其变化。Keywords represent the key points of literature. By analyzing the frequencies of keywords in different literatures and clustering those keywords, we can understand the development priorities and research focuses of the subject in different periods. The data source is based on the 83 kinds of journals of LIS in JCR. There are 16302 keywords in the data source. Using mapping knowledge domain tool Sci2, a co-word analysis is then conducted. In the map, Sci2 can not only reveal the hierarchy between keywords, but also demonstrate clearly the key points and their development in different periods of the foreign LIS by changing nodes.

关 键 词：Sci2 图书情报学 共词分析 知识图谱 研究主题 

分 类 号：G350[文化科学—情报学]