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针对学科交叉领域知识重叠问题,以情报学和计算机科学为例,检索两学科主要交流期刊的互引论文,用Bibexcel对论文关键词进行处理,综合运用统计分析方法和重叠社群可视化软件工具CFinder,分析两学科交叉关键词的词频分布和k-clique数量分布规律;对两学科中知识聚类和重叠社群网络进行可视化展示,并对两学科之交叉研究主题进行分析。
Aiming at the problem of overlap of knowledge in the interdisciplinary field, this paper takes the information science and the computer science as examples to search the inter-cited papers of the main exchange journals of the two disciplines, and uses Bibexcel to deal with the key words of the thesis. By using the statistical analysis method and the CFetinder , Analyzed the word frequency distribution and the k-clique quantity distribution law of cross-disciplinary key words; visualized the knowledge clustering and overlapping social network in two disciplines, and analyzed the theme of cross-disciplinary research.