摘要
以关键词为计量单位的作者关键词耦合分析方法与以文献为计量单位的作者同被引、作者文献耦合等常规分析方法相比,在揭示作者的研究内容上更为直观清晰。探讨了如何利用作者关键词耦合分析法计算作者之间的相似度,并根据作者的相似度挖掘作者之间潜在的合作关系,最后以ACM SIGKDD合作网络为例分析统计了数据挖掘和知识发现领域作者之间潜在的合作关系,并探讨了该方法对中文期刊数据库的适用性。
Author keyword,loupling analysis based on keyword shows a more clear research lontent than author co-citation analysis and author bibligraphic coupling analysis based on document. This paper discusses how to use the author keyword coupling analysis method to calculate the similarity between the authors and how to mine the potential cooperative relationships between the authors. In the end, we an- alyze the potential cooperative relationships between the authors in the field of data mining and knowledge discovery and explore the appli- cability of the method to the Chinese Journal Database.
出处
《情报杂志》
CSSCI
北大核心
2013年第5期127-131,共5页
Journal of Intelligence
关键词
作者关键词耦合分析
耦合强度
TF—IDF加权方法
作者相似度
潜在合作关系
科研合作
author keyword coupling analysis coupling strength TF-IDF weighting author similarity potential cooperative relation- ship scientific collaboration