作者关键词共现网络及实证研究  

Authour Keyword Co-occurrence Network Analysis:An Empirical Research

作　　者：孙海生[1] 

机构地区：[1]聊城大学图书馆,聊城252059

出　　处：《情报杂志》2012年第9期63-67,共5页Journal of Intelligence

摘　　要：以中国期刊网(CNKI)为数据源,构建作者—关键词共现网络,采用社会网络分析方法和Pathfinder net-works算法,选取国内图书情报研究领域进行实证分析。研究结果表明:2-模网络可视化图能够直接揭示作者的主要研究领域,反映出作者学术兴趣的多样性,显示不同作者的相同研究领域,对学科领域结构的解读具有显性、客观的特点;节点中心度分析反映出作者和关键词在网络中位置的重要性。CNKI was taken as the data source, and social network analysis and Pathfinder networks algorithm were used as the methodolo- gy in this research to construct Co-occurrence networks consisting of authors and keywords. We selected ＂library and information science＂ for case study. The results show that visualization of 2 - mode network revealed the author＇s main research areas and the diversity of inter- ests of an author, the similarities of the research areas between authors can be found clearly. We show the resulting specialties with the ex- plicit and objective characteristics. The position and influence of researchers and keywords in the affiliation network can be revealed with centrality indices.

关 键 词：作者—关键词耦合 隶属网络 社会网络分析 PATHFINDER networks算法 

分 类 号：G350[文化科学—情报学]