摘要
探索社会网络分析法在识别某领域研究热点中的有效途径。以我国经济学为实证对象,绘制其高被引文献同被引网络全景图,了解热点概况;测度并可视化网络中的成分、桥、切点和双边连接成分、k-核及派别,得出我国经济学研究的三大热点及其关键文献和核心文献;最后细分热点结构及主题。认为社会网络分析法是对研究热点测度方法的有力补充,该方法提高了识别热点的客观性;可知每篇文献对研究热点的形成所做的具体贡献;桥、切点、k-核能够精确定位核心文献和关键文献;分析过程及结果的可视化使研究可以考察不同层次的热点;分析结果可以通过不同算法得以检验。
To explore the effectiveness of social network analysis(SNA)applying in research focus recogniton,the paper drew the global graph of co-cited network of high-cited papers in economic journals to see general situation of economic focuses;found and viaualized the graph's components,bridges,cut-points,bi-components,k-cores and factions for the core papers and pivotal papers of three focuses;subdivides the structure and subjects of these focuses.It was considered that SNA enhances the objectivity of measure;knew the idiographic contribution of each paper;located core papers and pivotal papers exactly;found focuses existing different levels;proved result through different algorithm.In conclusion,SNA complete the methods of detecting research focused effectively.
出处
《现代情报》
CSSCI
2011年第5期46-54,共9页
Journal of Modern Information
关键词
社会网络分析
文献同被引
经济学
研究热点
可视化
social network analysis
document co-citation
Economics
research focus
visualization