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基于主题聚类的社会科学地图
引用本文:金莹,邓三鸿.基于主题聚类的社会科学地图[J].图书情报工作,2007,51(4):104-108.
作者姓名:金莹  邓三鸿
作者单位:南京大学信息管理系
基金项目:面向21世纪教育振兴行动计划(985计划)
摘    要:〔摘要〕 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。

关 键 词:聚类分析  科学地图  CSSCI  信息可视化  
收稿时间:2006-09-25
修稿时间:2006-09-232006-11-20

Constructing the Map of China Social Science Based on Subject Clustering
Jin Ying,Deng Sanhong.Constructing the Map of China Social Science Based on Subject Clustering[J].Library and Information Service,2007,51(4):104-108.
Authors:Jin Ying  Deng Sanhong
Institution:Department of Information Management, Nanjing University, Nanjing 210093
Abstract: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.
Keywords:CSSCI
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