图书情报工作

图书情报工作 >

2017 , Vol. 61 >Issue 7: 96 - 101

DOI: https://doi.org/10.13266/j.issn.0252-3116.2017.07.014

知识组织

作者三重耦合分析在知识图谱绘制中的应用研究

  • 王冰璐 ,
  • 步一 ,
  • 徐扬
展开
  • 1. 北京大学信息管理系 北京 100871;
    2. 印第安纳大学信息学与计算机学院 印第安纳布鲁明顿 47408
王冰璐(ORCID:0000-0002-5712-5950),本科生;步一(ORCID:0000-0003-2549-4580),博士研究生;徐扬(ORCID:0000-0001-6799-6832),副教授,博士,通讯作者,E-mail:yang.xu@pku.edu.cn。

收稿日期: 2016-12-18

  修回日期: 2017-03-06

  网络出版日期: 2017-04-05

收起

Towards Author Bibliographic Tripling Analysis in Mapping Knowledge Domains

  • Wang Binglu ,
  • Bu Yi ,
  • Xu Yang
Expand
  • 1. Department of Information Management, Peking University, Beijing 100871;
    2. School of Informatics and Computing, Indiana University, Bloomington 47408

Received date: 2016-12-18

  Revised date: 2017-03-06

  Online published: 2017-04-05

Fold

摘要

[目的/意义] 提出三重耦合概念，以期通过改变传统耦合的作者频次计算方法，改进因偶然因素产生的过耦合现象，提高领域知识谱图绘制的准确度。[方法/过程] 将原始矩阵构建从二重耦合计数改进为三重耦合计数，转化为相关矩阵后，对三维矩阵进行降维处理，通过Gephi软件绘制科学知识图谱并进行数据揭示与分析。[结果/结论] 实证研究结果显示，三重耦合一方面保留了二重耦合的领域分析能力，另一方面提高了聚类结果的准确性，更为有效地进行作者可视化分析，有利于领域图谱绘制和子领域发现，挖掘出科学共同体的更多细节。

关键词： 作者三重耦合; 三重耦合分析; 耦合分析; 引文分析; 信息计量学

本文引用格式

王冰璐 , 步一 , 徐扬 . 作者三重耦合分析在知识图谱绘制中的应用研究[J]. 图书情报工作, 2017 , 61(7) : 96 -101 . DOI: 10.13266/j.issn.0252-3116.2017.07.014

Abstract

[Purpose/significance] This paper proposesthe concept of author bibliographic tripling analysis in order to decrease the negative effects of over-bibliographic-coupling by modifying the definition of author bibliographic coupling method. The main purpose of author bibliographic tripling analysis is to improve the accuracy of knowledge domain mappings. [Method/process] This paper modifies the coupling frequency calculation into tripling frequency calculation and decreases the number of dimensions of the three-dimension matrix. Gephi is employed to analyze the data and visualize the network. [Result/conclusion] According to the results of the empirical studies, our proposed author bibliographic tripling method enhances the performance of knowledge domain mappings, which facilitates to find more sub-fields in visializations.

Key words： author bibliographic tripling; bibliographic tripling analysis; coupling analysis; citation analysis; informetrics

参考文献

[1] WHILEH H D, MCCAIN K W. Visualization of literatures[J]. Annual review of information science and technolog, 1997( 32):99-168.
[2] BORNER K, CHEN C, BOYACK K W. Visualizing knowledge domains[J]. Annual review of information science and technology, 2003, 37(1):179-255.
[3] COBO M J, LOPEZ-HERRERA A G, HERRERA-VIEDMA E. Science mapping software tools: review, analysis, and cooperative study among tools[J]. Journal of American Society for Information Science and Technology, 2011, 62(7):1382-1402.
[4] 杨思洛,韩瑞珍. 国外知识图谱绘制的方法与工具分析[J]. 图书情报知识,2012(6):101-109.
[5] KESSLER M M. Bibliographic coupling between scientific papers[J]. American documentation, 1963, 14(1):10-25.
[6] 王洵. 开斯勒与"文献合配"[J]. 情报科学, 1981, 2(4):29-32.
[7] 罗式胜. 耦合类型与分析[J]. 图书情报知识, 1985 (1):42-47.
[8] 邱均平. 论"引文耦合"与"同被引"[J]. 图书馆, 1987(3):13-19.
[9] 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.
[10] 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.
[11] 步一, 刘天祎, 赵丹群, 等. 国外作者共引分析研究评述[J].情报杂志, 2015, 34(12):48-53.
[12] 邱均平,段宇锋,陈敬全,等. 我国文献计量学发展的回顾与展望[J]. 科学学研究, 2003, 21(2):143-148.
[13] 王洵. 引文分析中的"同引"[J]. 情报科学, 1982, 3(3):58-62.
[14] 邱均平. 国内耦合分析方法研究现状与展望[J]. 图书情报工作,2014,58(7): 131-144.
[15] 赵庆龄,路文如. 土壤重金属污染研究回顾与展望——基于Web of Science数据库的文献计量分析[J]. 环境科学与技术, 2010, 33(6):111-117.
[16] 郑文晖. 文献计量法与内容分析法的比较研究[J]. 情报杂志, 2006, 25(5):31-33.
[17] 白永秀,吴航. 以国际合作推进中国自主创新——兼论东亚经济发展的重要路径[J]. 财经科学,2009, 53(3):56-63.
[18] 高明,段卉,韩尚洁. 基于CiteSpaceⅢ的国外体育教育研究计量学分析[J]. 体育科学,2015, 35(1):4-12.
[19] 谢彩霞. 国际科学合作研究状况综述[J]. 科研管理,2008, 29(3):179-186.
[20] DING Y. Scientific collaboration and endorsement: network analysis of coauthorship and citation networks[J]. Journal of informetrics, 2011, 5(1):187-203.
[21] BLONDEL D V, GUILLANME J, LAMBIOTTE R, et al. Fast unfolding of communities in large networks[J]. Journal of statistical mechanics: theory and experiment, 2008(10):155-168.
[22] ZHANG C, BU Y, DING Y. Understanding scientific collaboration from the perspective of author attributes and network structures[EB/OL].[2017-01-16].http://hdl.handle.net/2142/89424.
[23] SPINK A, BATEMAN J, JANSEN B J. Searching the Web: a survey of EXCITE users[J]. Internet research, 1999, 9(2):117-128.
[24] JANSEN B J,SPINK A, BATEMAN J,et al.Real lifeinformation retrieval: a study of user queries on the Web[J]. ACM SIGIR forum, 1998, 32(1):5-17.
[25] SPINK A. Information science:a third feedback framework[J]. Journalof the American Society for Information Science, 1997, 48(8):728-740.
[26] JARVELIN K,WILSON T D. On conceptual models for information seeking and retrieval research[J]. Information research: an international electronic journal, 2003, 9(1):111-123.
[27] HAN J. Data mining for image/video processing:a promising research frontier[C]// ACM international conference on image and video retrieval, Civr 2008. Niagara Falls: DBLP, 2008:1-2.
[28] HE X,CAI D,HAN J. Learning a maximum margin subspace for image retrieval[J]. IEEE transactions on knowledge &data engineering, 2008, 20(2):189-201.
[29] HAN J,PEI J,YIN Y,et al. Mining frequent patterns without candidate generation: afrequent-pattern tree approach[J]. Data mining and knowledge discovery, 2004, 8(1):53-87.
[30] BU Y, LIU T, HUANG W. MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations[J]. Scientometrics, 2016, 108(1):143-166.
[31] PERSSON O. All author citations versus first author citations[J]. Scientometrics, 2001, 50(2):339-344.
[32] ZHAO D. Towards all-author co-citation analysis[J]. Information processing and management, 2006, 42(6):1578-1591.
Options
文章导航

/

〈 〉