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文章设计了用于文献不同特征交叉共现关系的分析算法,并将这种方法应用于关键词与引文的交叉共现关系研究。实验以计量研究为实证领域,通过微观的交叉共现对、宏观的可视共现网络这两个层次,对关键词与引文的交叉共现结果进行分析与解释,发现关键词与引文的交叉共现分析可用于发现领域的研究方向、识别论文的研究主题、查找某一研究方向的经典文献等。
In this paper, an analysis algorithm for cross-co-occurrence relationships of different features in the literature is designed and applied to cross-co-occurrence relationships between keywords and citations. The experiment uses econometric research as the empirical field, analyzes and interprets the cross-co-occurrence results of key words and quotations through cross-co-occurrence on the micro level and macroscopic visual co-occurrence network, and finds that the crossings of key words and quotations Co-occurrence analysis can be used to find areas of research, identify the research topics, find a research direction of the classic literature.