基于有序聚类的期刊主题演化和热点发现研究  

Topic Evolution and Hotspot Discovery of Periodicals Based on Sequence Clustering

作　　者：孟凡赛 Meng Fansai(School of Information Management, Nanjing University, Nanjing Jiangsu 210046)

机构地区：[1]南京大学信息管理学院,江苏南京210046

出　　处：《情报探索》2018年第5期68-71,共4页Information Research

基　　金：国家社科基金重大招标项目"面向学科领域的网络信息资源深度聚合与服务研究"(项目编号:12&ZD221)成果之一

摘　　要：[目的/意义]探索学科领域研究主题的演化过程,对掌握研究现状、发展趋势和研究热点具有重要意义。[方法/过程]基于国内4种权威期刊的1998—2016年论文数据,从关键词集合和关键词个体2个方面,分别使用有序聚类方法进行主题演化研究。[结果/结论]根据关键词集合的聚类结果,可以将国内学科主题划分3个研究阶段;根据关键词个体的分析结果,可以筛选出最近3年的研究前沿和热点关键词。实验结果表明有序聚类研究方法在分析学科研究发展阶段和揭示学科研究热点都有一定的参考价值。[Purpose/significance]Exploring the evolution of research topics in subject domain is of great significance to grasp the research status, development trend and research hotspot. [Method/process]The paper bases on the paper data from four authoritative journals in China between 1998 and 2016, and carries out study on topic evolution by separately using sequence clustering method from two aspects of keyword sets and keyword individuals. [Result/conclusion]According to the clustering results of keyword sets, we can divide domestic subject research topics into three research stages; according to the analysis results of keyword individuals, we can get the research frontiers and hot keywords in the last three years. The results show that the sequence clustering method is valuable for analyzing the development stages of subject researches and revealing hotspot of subject researches.

关 键 词：期刊 有序聚类 主题演化 热点发现 

分 类 号：G202[文化科学—传播学]