基于主题聚类的社会科学地图

Constructing the Map of China Social Science Based on Subject Clustering

对CSSCI来源文献标引主题词进行多维聚类分析:首先选择22个学科及其来源关键词数据,通过建立相似性矩阵分析各学科关系,并采用降维办法在二维平面上显示22个学科的相对位置,然后将各关键词按照其和各学科的关系,通过可视化的主题词分布图绘制中国人文社会科学的科学地图,借助该地图可以可视化地了解当前国内人文社会科学各学科关系,揭示2000-2004年中国人文社会科学发展的基本关系和趋势。

Map of Science is a helpful tool in analyzing the relations and cross-links between different subjects. This paper gives a multi- dimensional clustering analysis on the CSSCI source documents＇ indexed subject words： firstly, it chooses 22 subjects and their source keywords data and carries out the analysis on the relations between these subjects by building a similarity matrix., and lays out these subjects on a two-dimensional plane. Secondly, it orders all the keywords by the relational level parameter between subjects and drawing the Map of Science of China humanities ＆ social sciences by the visualized distribution chart of these keywords. Finally, it points out that under the help of this map, the relations between the subjects of China humanities ＆ social sciences can be clearly understood and the development trend can be better surveyed.