基于学科主题共现的国际能源期刊分类与知识结构研究

Research on Journal Classification and Knowledge Structure Based on Subject Co-occurrence:Case Study on Journals of Energy & Fuels

以能源领域期刊为例,根据JCR报告中关于学科主题的分类,提出了一种新的视角,通过建立期刊的学科主题共现矩阵,利用2-模网络分析方法对期刊进行分类,清晰地展示出了期刊的跨领域类别,进而分析了期刊之间的知识交叉结构关系以及不同学科主题在能源研究领域的地位。这种方法避免了基于引文分析的期刊分类方法因期刊本身载文量及其引文数量变化带来的影响。

This paper presented a new method to describe journal classification and knowledge structure.In the former studies,citation analysis was always used to classify journals and subjects which may be impacted by the different amount of articles and citations in various journals.Compared with former patterns,we applied 2-mode network analysis with both single and bipartite graphs by constructing subject co occurrence matrix.As a case study,journals of Energy Fuels were examined.