摘要
【目的/意义】学科交叉研究是学科建设情报分析中的重要领域。对学科交叉的测度可以客观反映学术实体的学科交叉现状,为学科建设提供参考和借鉴。【方法/过程】在综述国内外现有学科交叉评价方法的基础上,提出一种基于论文产出的从学科交叉规模和学科交叉难度两个方面来协同度量学科交叉情况的测度方法。该方法首先基于学科分类体系构建学科树,然后根据论文所属学科分类来计算学科交叉规模和学科交叉难度,提出交叉指数算法和TOP-K学科组合算法来表征学术实体学科交叉情况。【结果/结论】选取国家和高校两类学术实体对本文方法进行实证检验,证明了本文所提出方法的实用性。同时通过算法性能分析,证明了本文提出方法的高效性。
【Purpose/significance】Interdisciplinary evaluation is an important field in the intelligence analysis of disciplinary construction. It can reflect the current interdisciplinary situation of academic entities and provide reference for the disciplinary construction objectively.【Method/process】On the basis of summarizing the existing evaluation methods of interdisciplinary, the paper proposes the evaluation method based on two dimensions, the scale of interdisciplinary and the difficulty of interdisciplinary. Firstly, the subject tree is constructed based on the subject classification architecture, then the scale and the difficulty of interdisciplinary are evaluated according to the subject tree. At last, the interdisciplinary algorithm and the Top-k algorithm are proposed to characterize the discipline integration.【Result/conclusion】The paper selected 12 countries and 12 universities to conduct an empirical test to prove the practicability of the method,and the effectiveness of the method is verified by experiments.
作者
王璐
马峥
潘云涛
WANG Lu;MA Zheng;PAN Yun-tao(Institute of Scientific and Technical Information of China, Beijing 100039,China)
出处
《情报科学》
CSSCI
北大核心
2019年第4期17-21,共5页
Information Science
基金
国家社会科学基金项目"论文专利互引知识关联揭示的科学和技术之间的联系分析"(17CTQ029)
关键词
学科交叉
学科建设
学科树
科学评价
interdisciplinary
disciplinary construction
subject tree
science evaluation
