基于3-mode网络的领域主题演化规律分析——以知识网络研究领域为例  

Analysis of Domain Theme Evolution Laws Based on 3-Mode Network

作　　者：李长玲[1] 刘非凡[1] 魏绪秋 

机构地区：[1]山东理工大学科技信息研究所,山东淄博255049

出　　处：《情报理论与实践》2014年第12期104-110,共7页Information Studies:Theory & Application

基　　金：国家社会科学基金项目"基于社会网络分析的学科评价研究"(项目编号:11BTQ020);山东理工大学人文社会科学发展基金项目"Web信息挖掘与智能检索"(项目编号:2010GGTD05)的研究成果之一

摘　　要：对某学科、某领域的主题演化轨迹进行分析,反映该学科、领域的发展历史、现状与未来,是目前情报分析的重要内容。文章以知识网络为例,检索了该领域的期刊文献,提取年份、作者和关键词题录数据,构建了3-mode共现关系词组。运用社会网络分析方法从合著网络、共词网络以及时间—作者—关键词3-mode共现网络3个角度对知识网络领域的演化特征进行了分析。研究发现,社会网络分析方法和3-mode共现分析方法能够应用于领域主题演化分析中,揭示网络演化特征,发现不同年份具有代表性的作者及合著团队、经典和热点研究主题,综合呈现该领域内年份—作者—主题之间的共现关系。Analysis of the theme evolution of a certain discipline and domain to reflect its development history,current status and future is the important content of the current intelligence analysis. Taking knowledge network as an example,this paper retrieves the periodical literature in this domain,extracts the bibliographic data of year,author and keyword,and constructs co-occurrence relations phrase of 3-mode. By using the social network analysis method,the paper analyzes the evolution characteristics of knowledge network area from 3 perspectives of collaboration networks,co-word network and time-author-keyword 3-mode co-occurrence network. The research finds that social network analysis method and 3-mode co-occurrence analysis method can be used on the analysis of domain theme evolution,in order to reveal the characteristics of network evolution,discover typical author and co-author team as well as classical and hot research themes for different years,and present the co-occurrence relations of year-author-theme in this area comprehensively.

关 键 词：知识网络 学科领域 主题演化分析 可视化 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术] G353.1[自动化与计算机技术—计算机科学与技术]