基于关键词共现频率的热点分析方法研究  

Research on the Hot Spot Analysis Method Based on Keyword Co-occurrence Frequency

作　　者：吴晓秋[1] 吕娜[1] 

机构地区：[1]北京理工大学图书馆,北京100081

出　　处：《情报理论与实践》2012年第8期115-119,共5页Information Studies:Theory & Application

基　　金：教育部人文社会科学基金项目"基于科技监测理论的学科知识服务研究"的成果;项目编号:09YJC870005

摘　　要：关键词共现可以有效地反映学科领域的研究热点,为科学研究提供辅助支持。文章系统梳理基于共现频率的共词分析相关度算法、聚类算法、可视化方法等,评价现有聚类算法,并针对k-means聚类算法提出改进构想。Keyword co-occurrence can effectively reflect the research focus in the disciplinary field, and provide auxiliary sup- port for scientific research. This article systematically summarizes the correlation algorithms, clustering algorithms and visualization methods of co-word analysis based on co-occurrence frequency, evaluates the existing clustering algorithms, and proposes some ide- as for improving the k-means clustering algorithm.

关 键 词：关键词 共现频率 聚类算法 分析方法 

分 类 号：G354[文化科学—情报学]