基于ESI数据的学科交叉宏观态势测度研究

Research on the Measurement in Interdisciplinary Macro Situation Based on ESI Data

【目的/意义】为了对学科交叉宏观态势进一步把握,基于ESI已有的学科分类,提出一种简单有效的测度方法。【方法/过程】借鉴相关研究,本文以ESI高被引论文为研究对象,以学科论文标题建立的标题词表为入口,提取词表之间的重叠词序列并计算其相关关系,提出测度方法并对测度结果进行详细分析,从而分析学科交叉宏观态势。【结果/结论】根据得到的学科交叉矩阵和学科交叉趋势图显示学科交叉整体呈上升趋势,但各学科交叉情况又有很大差异且出现学科交叉集群现象。本文所提测度方法从横纵两个角度分析从而得到计量结果,该方法可以精确对比各学科交叉程度,准确把握学科交叉整体态势。【创新/局限】在标题词表重叠词序列提取的基础上,结合词频分析方法计算重叠词序列的相关性,并以此来表示不同学科的交叉程度,从而在宏观层面对学科交叉态势进行测度。不足之处在于,仅选取ESI高被引数据进行分析,有可能会对学科内新兴的研究方向有所忽视。

【Purpose/significance】In order to further grasp the macro situation of interdisciplinary,a simple and effective measurement method is proposed,which is based on the existing classification of ESI.【Method/process】Based on relevant research,this paper takes the ESI high-cited paper as the research object,the title vocabulary established by the title of the discipline paper as the entrance,extracts the overlapping word sequence between the vocabulary and explores its related relationship,proposes the measurement method and makes the measurement result.Detailed analysis is conducted to analyze the cross-cutting macroeconomic situation.【Result/conclusion】According to the obtained interdisciplinary matrix and interdisciplinary trend graph,the cross-disciplinary trend of the subject is increasing.However,there are distinct cross-values between disciplines and the cross-disciplinary clustering occurs.The proposed measurement method in this paper analyzes the two angles of horizontal and longitudinal to obtain the measurement results.This method can accurately compare the degree of intersection of various disciplines and accurately grasp the overall situation of the intersection of disciplines.【Innovation/limitation】Based on the extraction of overlapping word sequences in the title vocabulary,combined with word frequency analysis methods to calculate the relevance of overlapping word sequences,and use this to indicate the degree of intersection of different disciplines,so as to measure the interdisciplinary situation at a macro level.The disadvantage is that only selecting ESI highly cited data for analysis may overlook the emerging research directions in the discipline.