信息可视化领域研究热点及演化特征的可视化分析

Visual Analysis of Research Hot Topics and Evolution Feature on Information Visualization

基于文献计量学-引文分析方法,利用CiteSpaceII工具,对从Web of Science数据库中的三个子库(SCI-EXPANDED,SSCI,CPCI-S)中下载的1991-2012年期间的"信息可视化主题"的14 890篇文献,绘制科技文献共被引网络结构分布图,从研究热点、知识结构演化、共被引网络关键节点三个角度来发现研究热点、跟踪演进历程、探测演进前沿以及掌握本领域相关知识基础,最后结合整个分析结果,对未来的发展进行展望。

Based on Bibliomctrics-Citation Analysis method, using citeSpaceII tools, in this paper the author draws the scientific literature cited network structure maps of 14890 literatures on inibrmation visualization, which are downloaded from the three sub-libraries （ SCI- EXPANDED, SSCI, CPCI-S ） of database Web of Science during 1991-2012 period. From the aspect of research focus, knowledge structure evolution and key nodes of cited network, the author discovers the research hot points, tracks the developing course of evolution, detects the research frontiers, and masters the basic knowledge in this field, and finally gives an outlook for the future development of marion visualization, according to the results of the entire analysis.