情报研究

基于引文的跨学科领域发展路径分析——以眼动追踪领域为例

  • 梁镇涛 ,
  • 巴志超 ,
  • 徐健
展开
  • 1. 武汉大学信息资源研究中心 武汉 430072;
    2. 南京理工大学经济管理学院 南京 210094;
    3. 中山大学资讯管理学院 广州 510006
梁镇涛(ORCID:0000-0003-2927-3523),硕士研究生;巴志超(ORCID:0000-0001-5626-5604),讲师。

收稿日期: 2019-04-24

  修回日期: 2019-08-01

  网络出版日期: 2019-12-05

基金资助

本文系国家自然科学基金青年项目"基于学术异质网络表示学习的知识群落发现"(项目编号:71804135)和中国博士后科学基金一等资助项目"融合语义与关系的科研社群识别与演化研究"(项目编号:2018M630885)研究成果之一。

Development Path of Interdisciplinary Field Based on Citation Analysis: A Case Study of Eye Tracking

  • Liang Zhentao ,
  • Ba Zhichao ,
  • Xu Jian
Expand
  • 1. Center for Studies of Information Resources, Wuhan University, Wuhan 430072;
    2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094;
    3. School of Information Management, Sun Yat-sen University, Guangzhou 510006

Received date: 2019-04-24

  Revised date: 2019-08-01

  Online published: 2019-12-05

摘要

[目的/意义] 跨学科研究已成为现代科学创新研究的重要范式和必然趋势,探究跨学科领域中学科的发展模式与演化路径,对于揭示跨学科领域形成与发展的动态过程具有重要意义。[方法/过程] 以眼动追踪(Eye Tracking,ET)领域为例,对文献引文关系进行提取与学科标注,构建文献和学科层面的引文关系网络;计算各学科的他引比率、他被引比率和普赖斯指数,从宏观层面分析ET领域中主要学科的跨学科发展模式;考察不同阶段内部及不同阶段之间的学科引证关系,探究不同阶段各学科在跨学科发展过程中的关系结构与角色演变;基于引文的中介中心度识别连接不同学科关系的重要文献,考察重要文献、高被引文献以及参考文献之间的引文关系,从微观层面揭示ET领域发展的具体演化路径。[结果/结论] ET领域发展经历潜伏期、发展期和成熟期三个阶段,并呈现独立型、交叉型和学习型三种学科发展模式;各学科之间的引证关系随阶段变化逐渐紧密且分布逐渐均匀,神经学、心理学和临床医学在跨学科发展和知识输出方面处于核心地位;ET领域纵向发展表现为独立型学科的基础理论创新,横向发展表现为3种类型学科的深度融合,并呈现出"独立-线性-网状"的发展路径。

本文引用格式

梁镇涛 , 巴志超 , 徐健 . 基于引文的跨学科领域发展路径分析——以眼动追踪领域为例[J]. 图书情报工作, 2019 , 63(23) : 65 -78 . DOI: 10.13266/j.issn.0252-3116.2019.23.008

Abstract

[Purpose/significance] Interdisciplinary research has become an important paradigm and inevitable trend of modern scientific innovation research. Exploring the development pattern and path of interdisciplinary fields is of great significance for understanding the dynamic process of interdisciplinarity formation and development.[Method/process] Taking the field of Eye Tracking (ET) as an example, the citation relationship of the literature was extracted and the subject was marked, and the citation networks of the literature and the subject level were constructed. To perform an analysis on the interdisciplinary development pattern of major disciplines in the ET field from a macro level, the cross-same field reference ratio, cross-same field citation ratio and Price's Index were calculated. Then this study examined the relationship between disciplines within and between different stages, and explored the relationship structure and role evolution of interdisciplinary development in different stages. Finally, to reveal the specific development path of ET development from the micro level, betweenness centrality analysis was performed to identify important documents that connect different disciplines. Moreover, this study examined the citation relations between important documents, highly cited documents, and references.[Result/conclusion] The development of ET field has three stages:incubation period, development period and maturity stage, and presents three types of subject development pattern:independent, interdisciplinary and learning discipline. The citation relationships between different disciplines are more dense and evenly distributed over time. Neuroscience, psychology and clinical medicine are important knowledge exporter during the interdisciplinary evolution. The vertical development of ET field is the basic theoretical innovation of independent disciplines, and the horizontal development is characterized by the deep integration of four types of disciplines, and the development path is presented as "independent-linear-mesh" pattern.

参考文献

[1] RHOTEN D. Risks and rewards of an interdisciplinary research path[J]. Science, 2004,306(5704):2046.
[2] 刘仲林. 交叉科学时代的交叉研究[J]. 科学学研究, 1993(2):11-18.
[3] 张琳. 国内外"交叉科学"研究现状及评述[J]. 科技管理研究, 2013,33(12):251-254.
[4] XU J, BU Y, DING Y, et al. Understanding the formation of interdisciplinary research from the perspective of keyword evolution:a case study on joint attention[J]. Scientometrics, 2018,117(2):973-995.
[5] MUNOZ-ECIJA T, VARGAS-QUESADA B, CHINCHILLA-RODRIGUEZ Z. Identification and visualization of the intellectual structure and the main research lines in nanoscience and nanotechnology at the worldwide level[J]. Journal of nanoparticle research, 2017,19(2):62-87.
[6] ZUO Z, ZHAO K. The more multidisciplinary the better?-the prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions[J]. Journal of informetrics, 2018,12(3):736-756.
[7] FIGUEROLA C G, GARCÍA MARCO F J, MARÍA PINTO. Mapping the evolution of library and information science (1978-2014) using topic modeling on LISA[J]. Scientometrics, 2017,112(3):1507-1535.
[8] ZHANG L, SUN B, CHINCHILLA-RODRÍGUEZ Z, et al. Interdisciplinarity and collaboration:on the relationship between disciplinary diversity in departmental affiliations and reference lists[J]. Scientometrics, 2018,117(1):271-291.
[9] KARLOVCEC M, MLADENIC D. Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring[J]. Scientometrics, 2015,102(1):433-454.
[10] 张勤. 国内知识管理领域跨学科知识交流特征研究[J]. 图书情报知识, 2018(6):50-60.
[11] 杨瑞仙, 姜小函. 从学科和期刊的引证视角看交叉学科的知识结构和演化问题——以图书情报学科为例的实证研究[J]. 图书情报工作, 2018,62(5):30-39.
[12] PORTER A L, COHEN A S, DAVID ROESSNER J, et al. Measuring researcher interdisciplinarity[J]. Scientometrics, 2007,72(1):117-147.
[13] MORIMOTO C H, MIMICA M R M. Eye gaze tracking techniques for interactive applications[J]. Computer vision and image understanding, 2005,98(1):4-24.
[14] 章成志, 吴小兰. 跨学科研究综述[J]. 情报学报, 2017,36(5):523-535.
[15] GARFIELD E. Citation indexing for studying science[J]. Nature, 1970,227(5259):133-138.
[16] WAGNER C S, ROESSNER J D, BOBB K, et al. Approaches to understanding and measuring interdisciplinary scientific research (IDR):a review of the literature[J]. Journal of informetrics, 2011,5(1):14-26.
[17] PORTER A L, CHUBIN D E. An indicator of cross-disciplinary research[J]. Scientometrics, 1985, 8(3):161-176.
[18] CHAKRABORTY T. Role of interdisciplinarity in computer sciences:quantification, impact and life trajectory[J]. Scientometrics, 2018,114(3):1011-1029.
[19] WANG J, THIJS B, GLÄNZEL W. Interdisciplinarity and impact:distinct effects of variety, balance, and disparity[J]. Plos One, 2015,10(5):e127298.
[20] 黄颖, 张琳, 孙蓓蓓, 等. 跨学科的三维测度——外部知识融合、内在知识会聚与科学合作模式[J]. 科学学研究, 2019, 37(1):25-35.
[21] 刘婷, 李长玲, 刘运梅, 等. 基于参考文献分类号的图书情报学跨学科知识输入特点分析[J]. 情报科学, 2018,36(10):99-104.
[22] RINIA E J, VAN LEEUWEN T N, BRUINS E E W, et al. Citation delay in interdisciplinary knowledge exchange[J]. Scientometrics, 2001,51(1):293-309.
[23] KARUNAN K, LATHABAI H H, PRABHAKARAN T. Discovering interdisciplinary interactions between two research fields using citation networks[J]. Scientometrics, 2017, 113(1):335-367.
[24] 吕冬晴, 谢娟, 成颖, 等. 我国人文社会科学间跨学科模式研究[J]. 图书情报知识, 2018(6):37-49.
[25] 岳增慧, 许海云. 学科引证网络知识扩散特征研究[J]. 情报学报, 2019,38(1):1-12.
[26] COCCIA M. General properties of the evolution of research fields:a scientometric study of human microbiome, evolutionary robotics and astrobiology[J]. Scientometrics, 2018,117(2):1265-1283.
[27] CHANG Y W, HUANG M H. A study of the evolution of interdisciplinarity in library and information science:using three bibliometric methods[J]. Journal of the American Society for Information Science and Technology, 2012,63(1):22-33.
[28] 柯青, 朱婷婷. 图书情报学跨学科期刊引用及知识贡献推进效应-基于JCR社会科学版的分析[J]. 情报资料工作, 2017(2):12-21.
[29] SUN X, DING K, LIN Y. Mapping the evolution of scientific fields based on cross-field authors[J]. Journal of informetrics, 2016,10(3):750-761.
[30] KUMAR S, MARKSCHEFFEL B. Bonded-communities in HantaVirus research:a research collaboration network (RCN) analysis[J]. Scientometrics, 2016, 109(1):533-550.
[31] 史庆伟, 乔晓东, 徐硕, 等. 作者主题演化模型及其在研究兴趣演化分析中的应用[J]. 情报学报, 2013,32(9):912-919.
[32] 何劲, 关鹏, 王曰芬. 作者-主题关联的学科知识网络构建与演化分析[J]. 情报科学, 2019,37(1):56-62.
[33] 隗玲, 许海云, 胡正银, 等. 学科主题演化路径的多模式识别与预测——一个情报学学科主题演化案例[J]. 图书情报工作, 2016,60(13):71-81.
[34] CHEN B, DING Y, MA F. Semantic word shifts in a scientific domain[J]. Scientometrics, 2018,117(1):211-226.
[35] LIU P, XIA H. Structure and evolution of co-authorship network in an interdisciplinary research field[J]. Scientometrics, 2015,103(1):101-134.
[36] 关鹏, 王曰芬. 学科领域生命周期中作者研究兴趣演化分析[J]. 图书情报工作, 2016,60(19):116-124.
[37] PRICE D. Citation measures of hard science, soft science, technology, and nonscience[M]//NELSON C E, POLLOCK D K. Communication amoung scientists and engineers. Lexington, MA:Heath Lexington Books, 1970:3-22.
[38] FREEMAN L. A set of measures of centrality based on betweenness author(s)[J]. Sociometry, 1977,40(1):35-41.
[39] GROCH S, WILHELM I, DIEKELMANN S, et al. The role of REM sleep in the processing of emotional memories:evidence from behavior and event-related potentials[J]. Neurobiology of learning and memory, 2013,99(1):1-9.
[40] KOMOGORTSEV O V, KARPOV A. Automated classification and scoring of smooth pursuit eye movements in the presence of fixations and saccades[J]. Behavior research methods, 2013,45(1):203-215.
[41] GERMAIN A. Sleep Disturbances as the hallmark of PTSD:where are we now?[J]. American journal of psychiatry, 2013,170(4):372-382.
[42] BHUIYAN M A, AMPORNARAMVETH V, MUTO S, et al. On tracking of eye for human-robot interface[J]. International journal of robotics & automation, 2004,19(1):42-54.
[43] VOELKER R. Eye tracking in surgical robotics[J]. Jama-journal of the American Medical Association, 2017,318(19):1858.
[44] VAN ECK N J, WALTMAN L. CitNetExplorer:a new software tool for analyzing and visualizing citation networks[J]. Journal of informetrics, 2014, 8(4):802-823.
文章导航

/