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2017 , Vol. 61 >Issue 11: 140 - 148

DOI: https://doi.org/10.13266/j.issn.0252-3116.2017.11.017

The Overview of Co-citation and Coupling in Knowledge Domain Visualization

  • Tao Ying ,
  • Zhou Li ,
  • Song Yanhui
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  • 1. Library, Harbin University of Commerce, Harbin 150028;
    2. School of Management, Hangzhou Dianzi University, Hangzhou 3210018

Received date: 2017-04-21

  Revised date: 2017-05-24

  Online published: 2017-06-05

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Abstract

[Purpose/significance]Knowledge domain visualization is an important research branch that derives from knowledge visualization. This paper combs the research results of co-citation and coupling in knowledge domain visualization based on the research method of book information science and science. It analyzes the basic principle, concrete application of co-citation and coupling, and puts forward the new development of co-citation and coupling in knowledge domain visualization. It also guides and promotes the comprehensive and in-depth development of knowledge domain visualization research. [Method/process]On the basis of the definition of knowledge domain, knowledge domain visualization and the research framework of knowledge domain visualization, this paper concluded and summarized co-citation and coupling in knowledge domain visualization method. It analyzed the five main methods of co-citation and coupling:document co-citation method, author co-citation, journal co-citation, document coupling method and author coupling method. [Result/conclusion]We believe that the above five methods are the main methods of knowledge domain visualization. While the multiple citation method, co-citation and coupling of fusion altmetrics represent the new development of knowledge domain visualization.

Key words： knowledge domain; visualization; co-citation; coupling

Cite this article

Tao Ying , Zhou Li , Song Yanhui . The Overview of Co-citation and Coupling in Knowledge Domain Visualization[J]. Library and Information Service, 2017 , 61(11) : 140 -148 . DOI: 10.13266/j.issn.0252-3116.2017.11.017

References

[1] 焦应奇. 知识域概念和专业知识板块的划分与设计[J]. 美术观察,2001(9):16-20.
[2] 高政利, 梁工谦. 价值性差异、知识域结构与知识计量研究[J]. 科学学研究,2009,27(6):881-890.
[3] 周宁, 张李义. 信息资源可视化模型与方法[M].北京:科学出版社,2008
[4] SMALL H. Visualizing science by citation mapping[J]. Journal of the American Society for Information Science, 1999, 50(9), 799-813.
[5] PERSSON O. All author citations versus first author citations[J]. Scientometrics, 2001,0(2), 339-344.
[6] SCHNEIDER J W, LARSSEN B, INGWERSEN P.Comparative study between first and all-author co-citation analysis based on citation indexes generated from XML data[C] //Proceedings of ISSI 2007, 11th international conference of the International Society for Scientometrics and Informetrics. Madrid:CSIC, 2007:696-707.
[7] EOM S.All author cocitation analysis and first author cocitation analysis:a comparative empirical investigation[J]. Journal of informetrics, 2008(2):53-64.
[8] AHLGREN P, JAMEVING B, ROUSSEAU R. Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient[J]. Journal of the American Society for Information Science and Technology, 2003, 54(6):550-560.
[9] WHITE H D. Author cocitation analysis and Pearson's r[J]. Journal of the American Society for Information Science and Technology, 2003,54:1250-1259.
[10] ROUSSEAU R, ZUCCALA A. A classification of author co-citations:Definitions and search strategies[J]. Journal of the American Society for Information Science and Technology, 2004, 55(6), 513-629.
[11] CABRINI G,MARIA C,TANNURI D O,et al. Proximity indicators in author co-citation analysis:a comparative study between the Pearson's correlation coefficient and Salton's cosine[J]. Informacao & sociedada-estudos,2015,25(2):105-116.
[12] BU Y,LIU T Y, HUANG W B. Maca:a modified author co-citation analysis method combined with general descriptive metadata of citations[J]. Scientometrics,2016,108(1):143-166.
[13] KIM H J, JEONG Y K, SONG M. Content-and proximity-based author co-citation analysis using citation sentences[J]. Journal of informetrics,2016,10(4):954-966.
[14] PAMELA E S. Schlarly communication as a socioecological system[J].Scientometrics, 2001,51(3):573-605.
[15] SUH C K. An author co-citation analysis of the researches on the supply chain management[J]. The journal of information systems,2015,24(4):43-60.
[16] 林春培, 黄海媚, 吴东儒. 基于作者共被引分析的破坏性创新研究学术群类与脉络探析[J]. 科学学与科学技术管理,2016,37(8):68-81.
[17] 姜鑫, 马海群. 基于作者共被引分析的我国档案学学科知识结构探析[J]. 档案学研究, 2015(1):22-29.
[18] 高瑾. 数字人文学科结构研究的回顾与探索[J]. 图书馆论坛,2017(1):1-9.
[19] WHITE H D, MCCAIN K W. Visualizing a discipline:an author cocitation analysis of information science, 1972-1995[J]. Journal of the American Society for Information Science, 1998, 49, 327-355.
[20] MCCAIN K W. Mapping authors in intellectual space:a technical overview[J]. Journal of the American Society for Information Science, 1990, 41(2):433-443.
[21] 赵党志. 期刊共被引分析——研究学科及其期刊结构与特点的一种方法[J]. 中国科技期刊研究,1993(2):55-60.
[22] HU C P, HU J M, GAO Y,et al. A journal co-citation analysis of library and information science in China[J]. Scientometrics, 2011(11):111-120.
[23] 邱均平,赵为华. 期刊同被引的实证计量研究[J]. 情报科学,2008,26(10):1448-1452.
[24] 岳洪江, 刘思峰. 管理科学期刊同被引网络结构分析[J]. 情报学报,2008,27(3):400-406.
[25] 陈瑜林. 远程教育学与相关学科关系分析——基于期刊同被引方法的研究[J]. 广州广播电视大学学报,2015(4):1-6.
[26] 樊贵莲,郭淑芬. 国际创新团队研究的知识基础与热点前沿——基于1992年以来WOS数据的科学计量分析[J]. 科技进步与对策,2017,34(4):145-154.
[27] 梁玉丹,王小寅, 罗海丽,等. CiteSpace应用对Web of Science近5年针灸相关文献的计量学及可视化分析[J]. 中华中医药杂志,2017,32(5):2163-2166.
[28] MUSTAFEE N,KATSALIAKI K, FISHWICK P. Exploring the modelling and simulation knowledge base through journal co-citation analysis[J]. Scientometrics, 2014,98(3):2145-2159.
[29] JIN X Z. An analysis of the intellectual structure of the LIS field:using journal co-citation Analysis[J]. Journal of the Korean Biblia society for Library and Information Science, 2013, 24(4):99-113.
[30] HU C P, HU J M, GAO Y. A journal co-citation analysis of library and information science in China[J]. Scientometrics,2011,86(3):657-670.
[31] KESSLER M M. Bibliographic coupling between scientific papers[J]. American documentation, 1963(14):10-25.
[32] EGGHE L, ROUSSEAU R. Cocitation, bibliographic coupling, and acharacterization of lattice citation networks[J]. Scientometrics, 2002(55):349-361.
[33] WEINBERG B H. Bibliographic coupling:a review[J]. Information storage and retrieval, 1974, 10(5/6):189-196.
[34] BASSECOULARD E, LELU A, ZITT M. Mapping nanosciences by citation flows:a preliminary analysis[J]. Scientometrics, 2007, 70(3):859-880.
[35] GLANZEL W, CZERWON H J. A new methodological approach to bibliographic coupling and its application to the national, regional, and institutional level[J]. Scientometrics, 1996,(37):195-221.
[36] KUUSI O, MEYER M. Anticipating technological breakthroughs:using bibliographic coupling to explore the nanotubes paradigm[J]. Scientometrics, 2007,70(3):759-777.
[37] SMALL H. Cocitation in the scientific literature:a new measure of the relationship between two documents[J]. Journal of the American Society for Information Science, 1973,(24):265-269.
[38] ZHAO D, STROTMANN A. Evolution of research activities and intellectual influences in information Science 1996-2005:Introducing author bibliographic coupling analysis[J]. Journal of the American Society for Information Science and Technology, 2008, 59(13), 2070-2086.
[39] YOON J W, CHUNG E. An identification of the image retrieval domain from the perspective of library and information science with author co-citation and author bibliographic coupling analyses[J]. Journal of the Korean Library and Information Science Society, 2015,49(4):99-124.
[40] 赵文涟,张艺蔓. 基于期刊耦合和作者耦合的学科内部结构研究[J]. 情报科学,2016(12):12-18.
[41] 沈利华,李红, 张辉. 第一作者和全部作者耦合在领域知识结构发现中的比较——基于硅纳米材料领域的实证分析[J].情报杂志,2014,33(4):23-57.
[42] ZHAO D Z,STROTMANN A. Counting first, last, or all authors in citation analysis:a comprehensive comparison in the highly collaborative stem cell research field[J]. Journal of the American Society for Information Science and Technology,2011,62(4):654-676.
[43] 宋艳辉,武夷山. 作者文献耦合分析与作者关键词耦合分析比较研究:Scientometrics实证分析[J]. 中国图书馆学报, 2014,40(1):25-38.
[44] 宋艳辉,杨思洛. 国外情报学研究的作者文献耦合分析——基于国内情报学的对比研究[J]. 情报科学,2015,33(10):134-139.
[45] 宋艳辉, 武夷山. 基于作者文献耦合分析的情报学知识结构研究.图书情报工作, 2014,58(1):117-123.
[46] YANG S L, HAN R Z, WOLFRAM D. Visualizing the intellectual structure of information science (2006-2015):Introducing author keyword coupling analysis[J]. Journal of informetrics, 2016,10(1):142-150.
[47] GAZNI A, DIDEGAH F. The relationship between authors' bibliographic coupling and citation exchange:analyzing disciplinary differences[J]. Scientometrics,2016,107(2):609-626.
[48] CHEN C.Searching for intellectual turning points:progressive knowledge domain visualization[C]. Proceedings of the National Academy of Sciences of the United States of America(PNAS), 2004, 101(Suppl.1):5303-5310.
[49] CHEN C.CiteSpaceⅡ:Detecting and visualizing emerging trends and transient patterns in scientific literature[J].Journal of the American Society for Information Science and Technology,2006, 57(3):359-377.
[50] TSVETOVAT M,KOUZNETSOV A. 社会网络分析·方法与实践[M].王薇,王成军,王颖,等译. 北京:机械工业出版社,2013.
[51] CHEN C. Mapping scientific frontiers:the quest for knowledge visualization[M]. London:Springer,2014.
[52] 刘启元,叶鹰. 文献题录信息挖掘技术方法及其软件SATI的实现——以中外图书情报学为例[J].信息资源管理学报,2012(1):50-58.
[53] 姜婷婷,范水香,陆伟,等. 基于NEViewer的国内外图书情报领域研究热点对比分析[J]. 情报科学,2016,34(2):154-160.
[54] TSENG Y H,TSAY M Y. Journal clustering of library and information information science for subfield delineation using the bibliometric analysis toolkit:CATAR[J].Scientometrics, 2013, 95(2):503-528.
[55] 何新贵. 知识处理与专家系统[M]. 北京:国防工业出版社,1990.
[56] MORRIS S, DEYONG C,WU Z,et al. Diva:a visualization system for exploring technology forecasting[J]. Computers & industrical engineering,2002,43(4):841-862.
[57] 邱均平,余厚强. 论推动替代计量学发展的若干基本问题[J]. 中国图书馆学报,2015, 41(1):4-15.
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