摘要
将社会网络分析中的位置分析引入作者同被引分析,改进科学共同体测度方法。实证得出我国经济学领域存在四大科学共同体,并分析了共同体之间的关系。认为,基于个体的统计分析与基于关系的网络分析相融合的新方法能够更本质地揭示科学共同体的形成与发展,在避免数据信息丢失,提取作者同被引行为模式,区分共同体层次结构,识别特殊团体,细分团体以及范式可视化方面具有优势。
The paper discusses the improvement of measuring scientific community which claims to introduce position analysis of SNA into author co-citation analysis.In the positive research,the scientific communities and their relations in Chinese Economics are educed.The advantages of the new method are summarized,such as preserving data information,abstracting patterns of author co-citation,distinguishing hierarchical structure,recognizing special communities,fractionizing community and visualizing paradigm.The new methods which combining statistic analysis based on individual with Network Analysis based on relation can be more effectively elucidating the form and development of the scientific communities.
出处
《科学学与科学技术管理》
CSSCI
北大核心
2011年第4期13-19,97,共8页
Science of Science and Management of S.& T.
关键词
科学共同体
作者同被引分析
社会网络分析
位置分析
scientific community
author co-citation analysis
social network analysis
position analysis
