共词分析法中战略坐标图的改进研究
|
摘要
[目的/意义]通过研究发现共词分析法中战略坐标图的密度、向心度的不足,提出新的战略坐标图绘制方法,优化了战略坐标图的绘制方法,提高共词分析方法的使用效果。[方法/过程]首先,分析了密度与向心度之间的相关性,指出其不足;其次,基于PageRank和网络密度提出新的战略坐标图绘制方法;最后,以"情报学"为例进行实验对比研究。[结果/结论]通过误差平方和指标和学科主题象限分布差异性,验证了新方法的合理性与科学性。
[Purpose/significance] This paper finds some problems in co-word analysis,such as the lack of density and centripetality of the strategic diagram,therefore,a new method of drawing the strategic diagram is proposed,which improves the drawing methods of strategic diagram and the effect of the co-word analysis method. [Method/process] Firstly,the correlation between density and centripetality is analyzed,and the shortcomings are pointed out. Secondly,a new method of drawing strategic graph is proposed based on PageRank and network density. Finally,an experimental study is conducted using "Intelligence Science"as an example. [Result/conclusion] The rationality and scientificity of the new method are verified by the differences in the sum of squared errors and subject matter and quadrants.
[Purpose/significance] This paper finds some problems in co-word analysis,such as the lack of density and centripetality of the strategic diagram,therefore,a new method of drawing the strategic diagram is proposed,which improves the drawing methods of strategic diagram and the effect of the co-word analysis method. [Method/process] Firstly,the correlation between density and centripetality is analyzed,and the shortcomings are pointed out. Secondly,a new method of drawing strategic graph is proposed based on PageRank and network density. Finally,an experimental study is conducted using "Intelligence Science"as an example. [Result/conclusion] The rationality and scientificity of the new method are verified by the differences in the sum of squared errors and subject matter and quadrants.
引文
[1]钟伟金,李佳.共词分析法研究(一)——共词分析的过程与方式[J].情报杂志,2008,27(5):70-72
[2] RONDA-PUPO G A,GUERRAS-MARTIN L A. Dynamics of the evolution of the strategy concept 1962-2008:a co-word analysis[J]. Strategic Management Journal,2012,33(2):162-188.
[3]张玉,郭会雨,陈建青.我国数据挖掘研究现状分析——基于共词分析视角[J].情报科学, 2011(10):1589-1593.
[4] RUIZ-ROSERO J,RAMIREZ-GONZALEZ G, WILLIAMS J M,et al. Internet of things:a scientometric review[J]. Symmetry,2017,9(12):301-311.
[5] CALLON M,COURTIAL J J P,TURNER W A,et al. From translations to problematic networks:an introduction to co-word analysis[J]. Social Science Information,1983,22(2):191-235.
[6]李欠欠. 2006—2016我国情报学热点研究主题分析——基于战略坐标图[J].图书馆杂志,2017,36(2):29-34.
[7] DEHDARIRAD T,VILLARROYA A,BARRIOS M. Research trends in gender differences in higher education and science:a co-word analysis[J]. Scientometrics, 2014, 101(1):273-290.
[8]丁荣楣,王平,马丽君,等. 2006—2015年基于Pubmed数据库的鼻咽癌文献计量分析[J].预防医学情报杂志,2017,33(6):607-612.
[9]李海存,赵迎光,单连慧,等.共词分析中的词汇遴选方法研究[J].中华医学图书情报杂志,2016,25(4):1-6.
[10]刘敏娟,张学福,颜蕴.基于词频、词量、累积词频占比的共词分析词集范围选取方法研究[J].图书情报工作,2016(23):135-142.
[11]路青,靖彩玲,范少萍.基于互信息的共词分析方法研究[J].情报科学,2016,34(4):48-51.
[12]孙海生.连边社团检测算法对共词分析聚类结果的改进研究[J].图书情报工作,2016(10):123-129.
[13] FENG J,ZHANG Y Q,ZHANG H. Improving the co-word analysis method based on semantic distance[M]. SpringerVerlag New York,Inc,2017:76.
[14]钟伟金,李佳.共词分析法研究(二)——类团分析[J].情报杂志,2008,27(6):141-143.
[15]唐婷,何晓兰.国家基金项目中知识管理领域研究主题分析——基于战略坐标图[J].情报科学,2018,36(2):71-76.
[16]马岩,姚轩鸽.国外纳税遵从研究的知识图谱与热点主题——基于国际SSCI的文献计量分析(1972—2015)[J].国际税收,2017(5):62-66.
[17] KHASSEH A A,SOHEILI F,MOGHADDAM H S,et al.Intellectual structure of knowledge in i Metrics[J]. Information Processing&Management,2017,53(3):705-720.
[18] CALLON M COURT IAL J P,LAVILLE F. Co-word analysis as a tool for describing the network of interactions between basic and technological research:the case of polymer chemistry[J]. Scientometrics,1991,22(1):155-205.
[19]约翰·斯科特.社会网络分析法[M].刘军,译.重庆:重庆大学出版社,2007.
[20]戴维·诺克.社会网络分析[M]. 2版.李兰,译.上海:汉语大词典出版社,2017.
[21] BRIN S,PAGE L. The anatomy of a large-scale hyper textual web search engine[C]//Proceedings ofthe 7th World Wide Web Conference(WWW7). Brisbane,Australia:[s. n.],1998:107-117.
[22] MIHALCEA R, TARAU P. TextRank:Bringing order into texts[C]//Conference on Empirical Methods in Natural Language Processing,EMNLP 2004. Barcelona,Spain:[s. n.],2004:404-411
[23]陈淋,屈文建.基于共词分析的我国图书情报学研究主题演化分析[J].新世纪图书馆,2017(12):13-18.
[24]孙鑫.近五年来我国情报学研究热点问题评价分析[J].西南民族大学学报:人文社科版,2015,36(5):237-240.
[2] RONDA-PUPO G A,GUERRAS-MARTIN L A. Dynamics of the evolution of the strategy concept 1962-2008:a co-word analysis[J]. Strategic Management Journal,2012,33(2):162-188.
[3]张玉,郭会雨,陈建青.我国数据挖掘研究现状分析——基于共词分析视角[J].情报科学, 2011(10):1589-1593.
[4] RUIZ-ROSERO J,RAMIREZ-GONZALEZ G, WILLIAMS J M,et al. Internet of things:a scientometric review[J]. Symmetry,2017,9(12):301-311.
[5] CALLON M,COURTIAL J J P,TURNER W A,et al. From translations to problematic networks:an introduction to co-word analysis[J]. Social Science Information,1983,22(2):191-235.
[6]李欠欠. 2006—2016我国情报学热点研究主题分析——基于战略坐标图[J].图书馆杂志,2017,36(2):29-34.
[7] DEHDARIRAD T,VILLARROYA A,BARRIOS M. Research trends in gender differences in higher education and science:a co-word analysis[J]. Scientometrics, 2014, 101(1):273-290.
[8]丁荣楣,王平,马丽君,等. 2006—2015年基于Pubmed数据库的鼻咽癌文献计量分析[J].预防医学情报杂志,2017,33(6):607-612.
[9]李海存,赵迎光,单连慧,等.共词分析中的词汇遴选方法研究[J].中华医学图书情报杂志,2016,25(4):1-6.
[10]刘敏娟,张学福,颜蕴.基于词频、词量、累积词频占比的共词分析词集范围选取方法研究[J].图书情报工作,2016(23):135-142.
[11]路青,靖彩玲,范少萍.基于互信息的共词分析方法研究[J].情报科学,2016,34(4):48-51.
[12]孙海生.连边社团检测算法对共词分析聚类结果的改进研究[J].图书情报工作,2016(10):123-129.
[13] FENG J,ZHANG Y Q,ZHANG H. Improving the co-word analysis method based on semantic distance[M]. SpringerVerlag New York,Inc,2017:76.
[14]钟伟金,李佳.共词分析法研究(二)——类团分析[J].情报杂志,2008,27(6):141-143.
[15]唐婷,何晓兰.国家基金项目中知识管理领域研究主题分析——基于战略坐标图[J].情报科学,2018,36(2):71-76.
[16]马岩,姚轩鸽.国外纳税遵从研究的知识图谱与热点主题——基于国际SSCI的文献计量分析(1972—2015)[J].国际税收,2017(5):62-66.
[17] KHASSEH A A,SOHEILI F,MOGHADDAM H S,et al.Intellectual structure of knowledge in i Metrics[J]. Information Processing&Management,2017,53(3):705-720.
[18] CALLON M COURT IAL J P,LAVILLE F. Co-word analysis as a tool for describing the network of interactions between basic and technological research:the case of polymer chemistry[J]. Scientometrics,1991,22(1):155-205.
[19]约翰·斯科特.社会网络分析法[M].刘军,译.重庆:重庆大学出版社,2007.
[20]戴维·诺克.社会网络分析[M]. 2版.李兰,译.上海:汉语大词典出版社,2017.
[21] BRIN S,PAGE L. The anatomy of a large-scale hyper textual web search engine[C]//Proceedings ofthe 7th World Wide Web Conference(WWW7). Brisbane,Australia:[s. n.],1998:107-117.
[22] MIHALCEA R, TARAU P. TextRank:Bringing order into texts[C]//Conference on Empirical Methods in Natural Language Processing,EMNLP 2004. Barcelona,Spain:[s. n.],2004:404-411
[23]陈淋,屈文建.基于共词分析的我国图书情报学研究主题演化分析[J].新世纪图书馆,2017(12):13-18.
[24]孙鑫.近五年来我国情报学研究热点问题评价分析[J].西南民族大学学报:人文社科版,2015,36(5):237-240.