跨学科指标测度的数据集构建及数据预处理研究

Data Set Construction and Data Preparation of Interdisciplinary Measure Indices

选择包括基础、应用和技术领域12个学科领域进行实证研究,对数据集构建过程和基本原则进行详细描述,重点阐述将文章、作者和引文归属到一级学科的原因,并对引文类共现矩阵作重点讨论。最后获得各领域的数据表格和结果,为下一步进行指标计算、分析和研究学科交叉现象做足准备。

Choosing twelve empirical fields, which include foundation, application and technology fields and comprises homology and difference between fields, this paper describes the construction process and basic principles of data set in detail. Then it expounds the reasons why articles, authors and citations belong to first - level discipline, and discusses the co - occurrence matrix of citation category. Finally, it gets the data forms and results of each field, and well prepares for calculating indexes, analyzing and researching the phenomenon that three disciplines cross in the future.