摘要
作者共被引分析可视化可以直观地表现一个学科的结构,国外已有一些相关的英文实验系统。本文主要叙述了中文作者共被引分析系统可视化研究的实现方法,给出了实现原理与总体结构所包括的三个模块。通过合理划定子树布局区域、限定可分配角度,排列子节点,建立了完整的实验系统,实现了共被引次数居于前lO位的作者的关联图视;系统还实现了人机交互,支持在人工监督下进行连续分析,具有作者研究简历面查询等功能。更换为其他文种的数据库,本文方法也可以用来表示相应的作者共被引分析可视化结果。
Author Co-citation Analysis (ACA) can express intellectual structure of scientific disciplines explicitly, There appeared some English experiment systems overseas, One method of visualization implementation of Chinese ACA system is proposed in this paper, It included the principle and three main moduals of an ACA system structure. An entire experimental system has been established by means of selecting sub-tree distribution, limiting distribution angles and arranging sub-nodes properly. The system showed the relation maps of the co-cited authors in the first 10 places from the database of more than 11,000 authors. Also, it has functions of human-machine interaction, continuous analysis under human' s supervision and displaying simple research background of authors that are on the map. The system can be adapted for the authors co-citation analysis of foreign languages if the corresponding databases used are changed.
出处
《情报学报》
CSSCI
北大核心
2008年第4期572-577,共6页
Journal of the China Society for Scientific and Technical Information
关键词
作者共被引分析
可视化
树形图
子树分布
author co-citation analysis, visualization, tree map, sub-tree distribution