[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.
Wang Binglu
,
Bu Yi
,
Xu Yang
. Towards Author Bibliographic Tripling Analysis in Mapping Knowledge Domains[J]. Library and Information Service, 2017
, 61(7)
: 96
-101
.
DOI: 10.13266/j.issn.0252-3116.2017.07.014
[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.
