一种基于共词网络社区的科研主题演化分析框架
收稿日期: 2012-11-27
修回日期: 2013-02-20
网络出版日期: 2013-04-20
基金资助
本文系国家自然科学基金项目"基于语义共词网络演化的学科新兴趋势浮现机理与探测研究"(项目编号:71003078)和中央高校基本科研业务费专项资金资助项目(项目编号:2012104010204)研究成果之一。
A New Research Frame for Analyzing the Evolution of Research Topics Based on Co-word Network Communities
Received date: 2012-11-27
Revised date: 2013-02-20
Online published: 2013-04-20
程齐凯 , 王晓光 . 一种基于共词网络社区的科研主题演化分析框架[J]. 图书情报工作, 2013 , (08) : 91 -96 . DOI: 10.7536/j.issn.0252-3116.2013.08.017
The knowledge structure of a discipline can be expressed by a co-word network. Six types of evolution of community are recognized, which are birth, death, splitting, merging, growth, and contraction. A topic evolution analysis framework is created based on Z-value mechanism and community match mechanism. Comparing with the traditional methods, the method proposed in this paper focus on the links between words rather than the frequency of words, which is a innovation in the field of ETD from the mesoscopical network view.
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