摘要
文章基于Scopus中2008年的11144个关键词构成的网络,结合复杂网络的相应知识,基于小世界网络的平均度和聚集系数这两个特征,通过统计和计算,揭示出关键词网络呈现出小世界的效应。基于由关键词构建的网络,文章初步探讨了通过关键词网络的中介度来确定学科知识点的方法,并与基于词频确定知识点的方法进行了简单的对比。
Based on the network comprised of 111,444 keywords of library and infor-mation science that are extracted from Scopus, and taken into consideration the major properties of average distance and clustering coefficients, the present authors, with the knowledge of complex network and by means of calculation, reveal the small-world effect of the keywords network. On the basis of the keywords network, the betweenness centrality is used to carry out a preliminary study on how to detect the research hotspots of a discipline. This method is also compared with that of detecting research hotspots by word frequency.
出处
《图书与情报》
CSSCI
北大核心
2013年第6期19-22,72,共5页
Library & Information
基金
江苏高校优势学科建设工程资助项目(PAPD)
国家自然科学基金项目"面向知识服务的知识组织模式与应用研究"(项目编号:71273126)
高技术研究发展计划(863计划)"以科技文献服务为主的搜索引擎研制"(项目编号:2011AA01A206)研究成果之一
关键词
关键词网络
小世界现象
聚集系数
中介度
keywords network
small-world
average distance
clustering coefficient
betweenness centrality
