基于论文产出的学科交叉测度方法
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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.
【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.
引文
1张春美,郝凤霞,闫宏秀.学科交叉研究的神韵——百年诺贝尔自然科学奖探析[J].科学技术哲学研究,2001,18(6):63-67.
2 牛珩,周建中,NIUHeng,等.基于定量分析角度开展的学科交叉研究与启示[J].科技管理研究, 2014, 303(5):236-240.
3 侯海燕,王亚杰,梁国强,等.基于期刊学科分类的学科交叉特征识别方法——以生物医学工程领域为例[J].中国科技期刊研究,2017,28(4):350-357.
4 侯海燕,赵楠楠,胡志刚,等.国际知识产权研究的学科交叉特征分析——基于期刊学科分类的视角[J].中国科技期刊研究,2014,25(3):416-426.
5 Small H. Maps of Science as Interdisciplinary Discourse:Co-citation Contexts and the Role of Analogy[J].Scientometrics,2010,(83):835-849.
6 李长玲,纪雪梅,支岭.基于E-I指数的学科交叉程度分析——以情报学等5个学科为例[J].图书情报工作,2011,55(16):33-36.
7 Zhang L, Rousseau R, Gl?nzel W. Diversity of references as an indicator of the interdisciplinarity of journals:Taking similarity between subject fields into account[J]. Journal of the Association for Information Science&Technology,2016,67(5):111-112.
8 魏建香,孙越泓,苏新宁.基于聚类分析的学科交叉研究[J].情报学报,2010,29(6):1066-1073.
9 闵超,孙建军.学科交叉研究热点聚类分析——以国内图书情报学和新闻传播学为例[J].图书情报工作,2014,(1):109-116.
10 张洪磊,魏建香,杜振东.基于社会复杂网络的学科交叉研究[J].情报杂志,2011,30(10):25-29.
11 王昊.基于关联规则挖掘研究学科间相关性[J].现代图书情报技术,2005,(3):23-28.
12 魏建香,孙越泓,苏新宁.学科交叉知识挖掘模型研究[J].情报理论与实践,2012,(4):76—80.
13 陈蒙,耿琰.研究型大学学科交叉问题探析[J].牡丹江教育学院学报, 2016,(6):36-37.
14 付秀颖,孙绍慧,吴红,等.专利视角下高校学科交叉研究[J].情报杂志, 2013,(10):62-66.
15 张春梅,张计龙,殷沈琴,等.基于复旦大学ERU数据的学科交叉程度与研究热点分析[J].现代情报,2015,35(3):68-76.
2 牛珩,周建中,NIUHeng,等.基于定量分析角度开展的学科交叉研究与启示[J].科技管理研究, 2014, 303(5):236-240.
3 侯海燕,王亚杰,梁国强,等.基于期刊学科分类的学科交叉特征识别方法——以生物医学工程领域为例[J].中国科技期刊研究,2017,28(4):350-357.
4 侯海燕,赵楠楠,胡志刚,等.国际知识产权研究的学科交叉特征分析——基于期刊学科分类的视角[J].中国科技期刊研究,2014,25(3):416-426.
5 Small H. Maps of Science as Interdisciplinary Discourse:Co-citation Contexts and the Role of Analogy[J].Scientometrics,2010,(83):835-849.
6 李长玲,纪雪梅,支岭.基于E-I指数的学科交叉程度分析——以情报学等5个学科为例[J].图书情报工作,2011,55(16):33-36.
7 Zhang L, Rousseau R, Gl?nzel W. Diversity of references as an indicator of the interdisciplinarity of journals:Taking similarity between subject fields into account[J]. Journal of the Association for Information Science&Technology,2016,67(5):111-112.
8 魏建香,孙越泓,苏新宁.基于聚类分析的学科交叉研究[J].情报学报,2010,29(6):1066-1073.
9 闵超,孙建军.学科交叉研究热点聚类分析——以国内图书情报学和新闻传播学为例[J].图书情报工作,2014,(1):109-116.
10 张洪磊,魏建香,杜振东.基于社会复杂网络的学科交叉研究[J].情报杂志,2011,30(10):25-29.
11 王昊.基于关联规则挖掘研究学科间相关性[J].现代图书情报技术,2005,(3):23-28.
12 魏建香,孙越泓,苏新宁.学科交叉知识挖掘模型研究[J].情报理论与实践,2012,(4):76—80.
13 陈蒙,耿琰.研究型大学学科交叉问题探析[J].牡丹江教育学院学报, 2016,(6):36-37.
14 付秀颖,孙绍慧,吴红,等.专利视角下高校学科交叉研究[J].情报杂志, 2013,(10):62-66.
15 张春梅,张计龙,殷沈琴,等.基于复旦大学ERU数据的学科交叉程度与研究热点分析[J].现代情报,2015,35(3):68-76.