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数据分析与知识发现  2019, Vol. 3 Issue (5): 107-116    DOI: 10.11925/infotech.2096-3467.2018.0905
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
学科交叉研究的演化阶段特征分析*——以医学信息学为例
操玉杰,毛进(),潘荣清,巴志超,李纲
武汉大学信息资源研究中心 武汉 430072
Analyzing Characteristics of Interdisciplinary Research Evolutions: Case Study of Medical Informatics
Yujie Cao,Jin Mao(),Rongqing Pan,Zhichao Ba,Gang Li
Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China
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摘要 

【目的】探究学科交叉研究的演化阶段特征。【方法】以医学信息学为示例学科交叉领域进行演化阶段划分, 进而从知识引入和知识产出两方面分析学科交叉度特征, 研究知识产出的共词网络结构变化, 深度揭示该学科交叉领域的不同演化阶段特征。【结果】医学信息学的萌芽期、发展期和稳定期表现出不同的学科交叉度和共词网络结构特征。在稳定期, 知识生长激增的同时伴随着知识内化过程, 且知识产出的专业度提升。【局限】学科交叉领域样本有待扩充以总结出一般性规律。【结论】学科交叉研究表现出的阶段特征是学科交叉领域发展过程中多学科知识引入与知识产出导致的客观结果。

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操玉杰
毛进
潘荣清
巴志超
李纲
关键词 学科交叉研究学科交叉测度共词网络知识融合知识内化    
Abstract

[Objective] The paper explores evolution of interdisciplinary research, aiming to identify their characteristics. [Methods] We chose “Medical Informatics” as the example of interdisciplinary study and divided its evolution into different phases. Then, we introduced interdisciplinary characteristics from the perspectives of knowledge input and output. Finally, we analyzed the co-word patterns of knowledge output to reveal the research evolution features. [Results] At the beginning, developing, and stable stages of Medical Informatics research, both the interdisciplinary degree indicators and the structural properties of the co-word network were different. At the stable stage, the knowledge began to internalize and specialize while exploding. [Limitations] The sample size of interdisciplinary fields needs to be further expanded. [Conclusions] The changing of interdisciplinary research characteristics are the results of multi-disciplinary knowledge input and output.

Key wordsInterdisciplinary Study    Interdisciplinary Degree    Co-Word Network    Knowledge Fusion    Knowledge Internalization
收稿日期: 2018-08-15     
基金资助:*本文系国家自然科学基金重大课题“国家安全大数据综合信息集成与分析方法”(项目编号: 71790612)、中国博士后科学基金项目“融合语义与关系的科研社群识别与演化研究”(项目编号: 2018M630885)和中央高校基本科研业务费专项资金资助项目的研究成果之一
引用本文:   
操玉杰,毛进,潘荣清,巴志超,李纲. 学科交叉研究的演化阶段特征分析*——以医学信息学为例[J]. 数据分析与知识发现, 2019, 3(5): 107-116.
Yujie Cao,Jin Mao,Rongqing Pan,Zhichao Ba,Gang Li. Analyzing Characteristics of Interdisciplinary Research Evolutions: Case Study of Medical Informatics. Data Analysis and Knowledge Discovery, DOI:10.11925/infotech.2096-3467.2018.0905.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0905
[1] 许海云, 郭婷, 岳增慧, 等. 基于TI指标系列的情报学学科交叉主题研究[J]. 情报学报, 2015, 34(10): 1067-1078.
[1] (Xu Haiyun, Guo Ting, Yue Zenghui, et al.Study on the Interdisciplinary Topics of Information Science Based on TI Index Series[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(10): 1067-1078.)
[2] 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]. 科学技术与辩证法, 2001, 18(6): 63-67.
[2] (Zhang Chunmei, Hao Fengxia, Yan Hongxiu.The Soul of InterdisciplinarityStudy: Analysis of Nobel Prize in Natural Science Among 100 Years[J]. Science Technology and Dialectics, 2001, 18(6): 63-67.)
[3] 刘仲林. 交叉科学时代的交叉研究[J]. 科学学研究, 1993, 11(2): 9-16.
[3] (Liu Zhonglin.Interdisciplinary Research in the New Era of Interdisciplinary Science[J]. Studies in Science of Science, 1993, 11(2): 9-16.)
[4] 路甬祥. 学科交叉与交叉科学的意义[J]. 中国科学院院刊, 2005, 20(1): 58-60.
[4] (Lu Yongxiang.Implications in the Disciplinary Cross-breeding and Inter-disciplinary Sciences[J]. Bulletin of the Chinese Academy of Sciences, 2005, 20(1): 58-60.)
[5] 许海云, 尹春晓, 郭婷, 等. 学科交叉研究综述[J]. 图书情报工作, 2015, 59(5): 119-127.
[5] (Xu Haiyun, Yin Chunxiao, Guo Ting, et al.Interdisciplinary Research Review[J]. Library and Information Service, 2015, 59(5): 119-127.)
[6] 刘仲林. 交叉学科分类模式与管理沉思[J]. 科学学研究, 2003, 21(6): 561-566.
[6] (Liu Zhonglin.The Classifying Mode and Management Meditation About Interdisciplinary Subjects[J]. Studies in Science of Science, 2003, 21(6): 561-566.)
[7] 程广龙. 多学科影响下的情报学研究[J]. 现代情报, 2005, 25(9): 204-206.
[7] (Cheng Guanglong.Information Science Research Impacted by Multidisplinary[J]. Journal of Modern Information, 2005, 25(9): 204-206.)
[8] 金薇吟. 学科交叉方法探析[J]. 科学学研究, 2006, 24(5): 667-671.
[8] (Jin Weiyin.Analysis of the Discipline-crossing Method[J]. Studies in Science of Science, 2006, 24(5): 667-671.)
[9] 周文娟. 基于诺贝尔自然科学奖的学科交叉研究[D]. 南昌: 南昌大学, 2010.
[9] (Zhou Wenjuan.The Research on Discipline-crossing Based on the Nobel Science[D]. Nanchang: Nanchang University, 2010.)
[10] Leydesdorff L, Schank T.Dynamic Animations of Journal Maps: Indicators of Structural Changes and Interdisciplinary Developments[J]. Journal of the American Society for Information Science & Technology, 2008, 59(11):1810-1818.
[11] 开滨. 基于引文分析的我国情报学学科交叉性实证研究[J]. 现代情报, 2017, 37(12): 144-153.
[11] (Kai Bin.Empirical Research on the Interdisciplinary of Information Science in China Based on Citation Analysis[J]. Journal of Modern Information, 2017, 37(12): 144-153.)
[12] Hammarfelt B.Interdisciplinarity and the Intellectual Base of Literature Studies: Citation Analysis of Highly Cited Monographs[J]. Scientometrics, 2011, 86(3): 705-725.
[13] 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.
[13] (Hou Haiyan, Wang Yajie, Liang Guoqiang, et al.Interdisciplinary Feature Identification Method Based on Journal Subject Category: A Case Study of Biomedical Engineering[J]. Chinese Journal of Scientific and Technical Periodicals, 2017, 28(4): 350-357.)
[14] 许海云, 董坤, 刘昊, 等. 基于异构网络的学科交叉主题发现方法[J]. 情报科学, 2017, 35(6): 130-137.
[14] (Xu Haiyun, Dong Kun, Liu Hao, et al.Interdisciplinary Topics Discovery Method Based on Heterogeneous Networks[J]. Information Science, 2017, 35(6): 130-137.)
[15] Cambrosio A, Limoges C, Courtial J P, et al.Historical Scientometrics? Mapping over 70 Years of Biological Safety Research with Coword Analysis[J]. Scientometrics, 1993, 27(2): 119-143.
[16] 单承伟, 覃雪, 黄福. 论文产出与学科演化趋势的研究[J]. 内蒙古科技与经济, 2016(10): 98-100.
[16] (Shan Chengwei, Qin Xue, Huang Fu.Research on the Relationship Between the Output of Papers and the Trend of Discipline Evolution[J]. Inner Mongolia Science Technology and Economy, 2016(10): 98-100.)
[17] 唐果媛. 基于共词分析法的学科主题演化研究方法的构建[J]. 图书情报工作, 2017, 61(23): 100-107.
[17] (Tang Guoyuan.Building the Method System of the Subject Theme Evolution Based on the Co-word Analysis Method[J]. Library and Information Service, 2017, 61(23): 100-107.)
[18] 王菲菲, 贾晨冉, 刘俊婉, 等. 交叉学科中文献学术价值的成长与老化研究——以医学信息学为例[J]. 科学学与科学技术管理, 2018, 39(2): 11-22.
[18] (Wang Feifei, Jia Chenran, Liu Junwan, et al.A Study on the Growth and Aging of Academic Value of Interdisciplinary Disciplines: Taking Medical Informatics as an Example[J]. Science of Science and Management of S.& T., 2018, 39(2): 11-22.)
[19] 唐果媛, 张薇. 基于共词分析法的学科主题演化研究进展与分析[J]. 图书情报工作, 2015, 59(5): 128-136.
[19] (Tang Guoyuan, Zhang Wei.Development and Analysis of Subject Theme Evolution Based on Co-word Analysis Method[J]. Library and Information Service, 2015, 59(5): 128-136.)
[20] 于田, 王名扬, 于光. 纳米科学的学科交叉模式演变研究[J]. 哈尔滨工业大学学报: 社会科学版, 2010, 12(6): 1-7.
[20] (Yu Tian, Wang Mingyang, Yu Guang.Research of the Cross- Disciplinary Models of Nanoscience & Nanotechnology over Time[J]. Journal of Harbin Institute of Technology: Social Science Edition, 2010, 12(6): 1-7.)
[21] 张金柱, 韩涛, 王小梅. 利用参考文献的学科分类分析图书情报领域的学科交叉性[J]. 图书情报工作, 2013, 57(1): 108-111.
[21] (Zhang Jinzhu, Han Tao, Wang Xiaomei.An Analysis of Interdisciplinary in Library and Information Science Based on References’ Subject Category[J]. Library and Information Service, 2013, 57(1): 108-111.)
[22] 吴亚平, 陈迪, 王继民. 从JoI期刊载文窥探计量学主题演化与学科交叉[J]. 数字图书馆论坛, 2015(8): 66-70.
[22] (Wu Yaping, Chen Di, Wang Jimin.Research on Topic Evolution and Interdisciplinary of Informetrices Based on JoI Papers[J]. Digital Library Forum, 2015(8): 66-70.)
[23] 寇继虹. 学科领域知识网络的可视化构建研究——以竞争情报为例[J]. 信息资源管理学报, 2015(3): 71-77.
[23] (Kou Jihong.The Study on Visual Knowledge Network Building for Subject Area — Take Competitive Intelligence for Example[J]. Journal of Information Resources Management, 2015(3): 71-77.)
[24] 陈赛君, 陈智高. 学科领域交叉性及对其测度的Φ指标——以我国科学学研究领域为例[J]. 科学学与科学技术管理, 2014, 35(5): 3-12.
[24] (Chen Saijun, Chen Zhigao.A New Φ Indicator for Measuring the Interdisciplinarity of Scientific Research:A Case Study in Science of Science Research in China[J]. Science of Science and Management of S.& T., 2014, 35(5): 3-12.)
[25] 赵楠楠. 共现分析在学科交叉特征识别中的应用——以生物医学工程为例[D]. 大连: 大连理工大学, 2015.
[25] (Zhao Nannan.The Application of Co-occurrence Analysis in the Recognition of the Features of Discipline Intersecting: The Case Study of Biomedical Engineering[D]. Dalian: Dalian University of Technology, 2015.)
[26] 张文琪. 综合主题分析的交叉学科合著网络演化研究[D]. 大连: 大连理工大学, 2016.
[26] (Zhang Wenqi.Topic-analysis-integrated Exploration on the Evolutionary Dynamics of Coauthorship Network in an Interdisciplinary Field[D]. Dalian: Dalian University of Technology, 2016.)
[27] 刘晓娟, 李广建, 化柏林. 知识融合:概念辨析与界说[J]. 图书情报工作, 2016, 60(13): 13-19.
[27] (Liu Xiaojuan, Li Guangjian, Hua Bolin.Knowledge Fusion: From the Conceptual Understanding to the System Construction[J]. Library and Information Service, 2016, 60(13): 13-19.)
[28] Rafols I, Meyer M.How Cross-disciplinary is Bionanotechnology? Explorations in the Specialty of Molecular Motors[J]. Scientometrics, 2007, 70(3): 633-650.
[29] Klein J T.Evaluation of Interdisciplinary and Transdisciplinary Research: A Literature Review[J]. American Journal of Preventive Medicine, 2008, 35(2): 116-123.
[30] 邵瑞华, 李亮, 刘勐. 学科交叉程度与文献学术影响力的关系研究——以图书情报学为例[J]. 情报杂志, 2018, 37(3): 146-151.
[30] (Shao Ruihua, Li Liang, Liu Meng.Research on Relationship Between Interdisciplinary Degree and Academic Impact of Papers — Taking the Library and Information Science (LIS) as an Example[J]. Journal of Intelligence, 2018, 37(3): 146-151.)
[31] Porter A L, Chubin D E.An Indicator of Cross-disciplinary Research[J]. Scientometrics, 1985, 8(3-4): 161-176.
[32] Shannon C E.A Mathematical Theory of Communication[J]. Bell System Technical Journal, 1948, 27(3): 379-423.
[33] Porter A L, Cohen A S, Roessner J D, et al.Measuring Researcher Interdisciplinarity[J]. Scientometrics, 2007, 72(1): 117-147.
[34] 胡昌平, 陈果. 层次视角下概念知识网络的三元关系形态研究[J]. 图书情报工作, 2014, 58(4): 11-16.
[34] (Hu Changping, Chen Guo.Research on Ternary Relationship of the Conceptual Knowledge Network from the Hierarchy Perspective[J]. Library and Information Service, 2014, 58(4): 11-16.)
[35] 齐燕, 许海云, 方曙. 基于WOS数据的医学信息学学科交叉发展态势研究[J]. 中华医学图书情报杂志, 2016, 25(11): 30-41.
[35] (Qi Yan, Xu Haiyun, Fang Shu.Studies on Development Trend in Interdisciplinarity of Medical Informatics Based on Web of Science-covered Data[J]. Chinese Journal of Medical Library and Information Science, 2016, 25(11): 30-41.)
[36] 邱均平. 信息计量学[M]. 武汉: 武汉大学出版社, 2007: 101-127.
[36] (Qiu Junping.Informetrics[M]. Wuhan: Wuhan University Press, 2007: 101-127.)
[37] 罗式胜. 关于普赖斯曲线方程参数b的讨论[J]. 情报理论与实践, 1994(1): 13-14.
[37] (Luo Shisheng.Discussion on Parameter b of Price Equation[J]. Information Studies: Theory & Application, 1994(1): 13-14.)
[38] 薛薇. 基于SPSS的数据分析[M]. 第4版. 北京: 中国人民大学出版社, 2017.
[38] (Xue Wei.Data Analysis Based on SPSS[M]. The 4th Edition. Beijing: China Renmin University Press, 2017.)
[39] Donohue J C.Understanding Scientific Literature: A Bibliographic Approach[M]. Massachusetts: The MIT Press, 1973.
[40] 王晓光. 科学知识网络的形成与演化(Ⅱ): 共词网络可视化与增长动力学[J]. 情报学报, 2010, 29(2): 314-322.
[40] (Wang Xiaoguang.Formation and Evolution of Science Knowledge Network(Ⅱ): Co-word Network Visualization and Growth Dynamics[J]. Journal of the China Society for Scientific and Technical Information, 2010, 29(2): 314-322.)
[41] 刘军. 整体网分析——UCINET软件实用指南[M]. 第2版. 上海: 上海人民出版社, 2014: 16-22.
[41] (Liu Jun.Lectures on Whole Network Approach——A Practical Guide to UCINET[M]. The 2nd Edition. Shanghai: Shanghai Renmin Press, 2014: 16-22.)
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