国际情报学研究主题的聚类分析——基于1996～2003年的LISA数据库

A Cluster Analysis on International Information Science Research Subjects： Based on LISA 1996-2003

本文对LISA数据库中1996～2003年的12种影响因子较高的期刊的题名和摘要字段进行了处理，并利用等级聚类法对其中的书目数据特征进行了初步的分析。在此基础上总结出情报学近几年研究的宏观和微观特征。宏观上，整个领域还是处于一种以研究点为主，有初步的簇形状的结构特征；情报学领域边界和分支不十分明晰。微观上，本领域可以根据其发展状况分为传统的研究重点（包括计量和检索），信息技术和网络的发展而带来的新的研究热点和随着学科融合和社会环境的变化产生的新的研究课题等三大类。并基于此，绘制了情报学研究现状的直观图景。

For papers published in and indexed in LISA from 1996 to 2003 of 12 information science journals with highest impact factors, both the title and abstract field are processed and papers are congregated by topics, using Hierarchy Cluster. The cluster results are analyzed and this leads to the conclusion of the research character of information science in both macro and micro views. In macro view, the discipline has an elementary cluster structure; the border and offsets are not clear enough. In micro view, the discipline can be divided into the traditional issues, including informetries and information retrieval, hot issues brought by the development of IT and network, and new issues developing with the subject amalgamation and social environment changing. Based on these work, we portrait an intuitionist landscape of information science.