用户名: 密码: 验证码:
我国图书情报学科研究热点分析(1998-2007)
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
1998年以来,随着全球化、信息化时代的到来,我国图书情报学科经历了巨大变化。面对学科的巨大变革,我国图书情报学界同仁迫切希望系统、全面、直观地了解十年来我国图书情报学科的发展状况,如:它的热点研究领域有哪些?它的学科结构又如何?学科发展的脉络趋势是什么?网络的普及和电子资源的广泛使用给这两个学科带来了什么影响?而将各种信息载体中的共现信息定量化的共现分析法,它不仅继承了定性与定量分析的优势,而且还克服了定性分析主观因素较强且不易操作的弊端,可更深刻、精确地挖掘隐含的或潜在的有用的文本知识,发现研究对象之间的亲疏关系,揭示研究对象所代表的学科结构或主题研究热点的变化。在计算机技术的辅助下,共现分析以其方法的简明性和分析结果的可靠性,成为支撑信息内容分析研究过程的重要手段和工具,其主要表现形式是共词分析与共引分析。鉴于此,本论文尝试采用共现分析法中的共词分析和作者共引分析法相结合对1998~2007年间我国图书情报学科的热点研究领域进行揭示与把握。
     本论文共分为以下五个部分:
     第一部分,论述了本研究的实用价值和理论意义,并对本论文的主要研究方法和内容进行归纳与总结。
     第二部分,阐述了共现分析法的理论基础、类型及流程,总结了共现分析法的国内外研究进展情况。
     第三部分,采用共现分析法中的共词分析法对1998~2007年间我国图书情报学科的研究热点进行微观层面上的实证分析。以五年为一个时间段,对十年间我国图书情报学科八种核心期刊的高频关键词分别进行聚类分析、类团关系分析和战略坐标分析,从微观上对我国图书情报学科不同时期的研究热点和主要研究领域进行揭示。得出十年来我国图书情报学科的热点研究领域不仅稳中有变,而且还显现出新的时代特征,可见我国图书情报学科的研究范围和内容具有一定的传承性、连续性、稳定性、发展性、阶段性、变化性的特点。
     第四部分,采用共现分析法中的作者共被引分析法对1998~2007年间我国图书情报学科八种核心期刊的高被引作者进行聚类分析、多维尺度分析和社会网络分析的实证研究,从宏观上对我国图书情报学科的研究热点和学科结构进行分析。得出十年来我国图书情报学科的热点研究领域虽然已经形成,但是学科研究力量不均衡,有待进一步细化,同时也有新的研究领域浮出水面,成果喜人。
     第五部分,采用对比分析法和演绎归纳推理法较为全面、直观、生动、形象地展示1998~2007年间我国图书情报学科研究热点的发展态势,并总结了本研究的创新点和不足之处。
With the globalization and information time coming,Chinese Library and Information Science(abbreviation LIS)has undergone great changes since 1998. Facing the enormous changes in development of discipline, Chinese academics in LIS are eager to learn systematically, comprehensively, intuitively the development of it in the past decade, such as: what its hotspots are; how its subject structure is; what the trends are; what have effect on Chinese LIS as the popularization of the Internet and electronic resources widely used. And co-occurrence analysis, which quantifies the co-occurrence information of all kinds of information carrier, not only inherits the advantages of qualitative and quantitative analysis, but also overcomes the drawbacks of subjective factors of qualitative analysis. So co-occurrence analysis can excavate profoundly and accurately connotative or potential useful text knowledge; it can dig out the affinity-disaffinity relationship of subject investigated; it can also reveal the structure and changes of subject investigated represented subject or topic. Co-occurrence analysis depending on computer technology becomes important means and tools to support information content analysis for simplicity of its methods and reliability of its results, and its main types are co-word analysis and co-citation analysis. In view of this, this paper tries to use co-word analysis and Author Co-citation Analysis to reveal the main hotspots of Chinese LIS from 1998 to 2007.
     This paper is divided into the following five sections:
     The first part discusses the practical value and theoretical significance of the thesis, and summarizes the main research methods and contents.
     The second part explains the theoretical basis、the type and process of co-occurrence analysis,and introduces the development of co-occurrence analysis at home and abroad.
     The third part mainly uses the co-word analysis method of co-occurrence analysis to make microscopically empirical analysis on research highlight of Chinese LIS between 1998 and 2007. Five years as a period, it performs cluster analysis, cluster relationship analysis and strategical diagram analysis to the high-frequency keywords of eight core journals of Chinese LIS, and reveals microscopically the research hotspots of Chinese LIS in different period. To sum up, the research hotspots of Chinese LIS is not only a stability there been a change over the past decade, but also is endowed with new features of the times. So the research scope and content of Chinese LIS has a certain characteristics of inheritance, continuity, stability, expansibility, variability.
     The fourth part mainly uses the author co-citation analysis method of co-occurrence analysis to make empirical analysis by cluster analysis, multidimensional scaling analysis and social network analysis on highly cited authors of eight core journals of Chinese LIS between 1998 and 2007, in order that grasp the structure and research focus of Chinese LIS from a macro point of view. Therefore, it concludes that the hot research realm of Chinese LIS has formed,but the research power is imbalance in hope of further refinement, At the same time, the discipline has have new research fields emerging and achieved gratifying results for the last decade.
     The last one mainly uses the comparative analysis method, deductive method and inductive method to comprehensively, intuitively and vividly display the trend of Chinese LIS between 1998 and 2007. Meanwhile, the paper also points out the innovations and shortcomings in this research.
引文
[1] Braam RR,Moed A F,Van Raan A F J. Mapping of science by combined co-citation and word analysis, part I: Structural aspects [J]. Journal of the American Society for Information Science,1991,42(1):233-151.
    [2] Braam RR,Moed A F,Van Raan A F J. Mapping of science by combined co-citation and word analysis, part II: Dynamical [J]. Journal of the American Society for Information Science.1991, 42(4):252-268.
    [3]叶继元.图书馆学、情报学与信息科学、信息管理学等学科的关系问题[J].中国图书馆学报,2004,30(3): 11-17,23.
    [4]王曰芬,宋爽,苗露.共现分析在知识服务中的应用研究[J].现代图书情报技术, 2006, 135(4):29-34.
    [5]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.
    [6]庞景安.科学计量研究方法论[M].北京:科学技术文献出版社, 2002 : 213-260.
    [7]赵党志.共引分析——研究学科及其文献结构和特点的一种有效方法[J].情报杂志, 1993, (5): 36-42.
    [8]刘林青.作品共被引分析与科学地图的绘制[J].科学学研究, 2005, (2): 155 - 159.
    [9]耿海英.共引分析方法及其应用[D].北京:中国科学院国家科学图书馆,2007, 1-47.
    [10] Small H. Co-citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents[J]. Journal of American Society for Information Science. 1973, 24: 265-269.
    [11] White, H. D., &Griffith, B. C. Author co-citation: A literature measure of intellectual structure [J]. Journal of the American Society for Information Science, 1981, 32: 163-172.
    [12] Callon M, Law J, Rip A. Mapping the Dynamics of Science and Technology [M]. London:The MacMillan Press Ltd, 1986, 165-168.
    [13] Law J, et al. Policy and the mapping of scientific change: a co-word analysis of research into environmental acidification [J]. Scientometrics. 1988, 14(3-4): 251-264.
    [14] Law J, Whittaker J. Mapping acidification research: A test of the co-word method [J]. Scientometrics, 1992, 23 (3): 417-461.
    [15] Kostoff, R.N. Multidisciplinary research thrusts from co-word analysis[C]. Technology Management: the New International Language. USA: Institute of Electric and ElectronicEngineer,1991, 584-.
    [16] H.P.F. Petersa,A.F.J. van Raan. Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling [J]. Research Policy, 1993, 22(1): 23-45.
    [17] H.P.F. Petersa,A.F.J. van Raan. Co-word-based science maps of chemical engineering. Part II: Representations by combined clustering and multidimensional scaling [J]. Research Policy, 1993, 22(1): 47-71.
    [18] Gedeon, T.D., Koczy, L.T. Hierarchical co-occurrence relations[C]. Systems, Man, and Cybernetics, 1998. USA: Institute of Electric and Electronic Engineer, 1998(3): 2750-2755.
    [19] Sujit Bhattacharya, Prajit K. Basu. Mapping a research area at the micro level using co-word analysis [J]. Scientometrics, 1998, 43(3): 359-372.
    [20] He Q. Knowledge discovery through co-word analysis [J]. Library Trends, 1999, 48 (1): 133-159.
    [21] He Q. Component study of co-word analysis [D]. Illinois: University of Illinois at Urbana-Champaign, 2001, 1-234.
    [22] DingYing, Chowdhury GG., Foo S. Incorporating the results of co-word analysis to increase search variety for information retrieval [J]. Journal of Information Science, 2000, 26(6): 429-451.
    [23] Ding Y., Foo S., Chowdhury GG. Bibliometric cartography of information retrieval research by using co-word analysis [J]. Information Processing & Management, 2001, 376(6): 817-842.
    [24] Stegmann J, Grohmann G. Hypothesis generation guided by co-word clustering [J]. Scientometrics, 2003, 56(1): 111-135.
    [25] Hui S. C., Fong A.C.M. Document retrieval from a citation database using conceptual clustering and co-word analysis [J]. Online Information Review, 2004, 28(1): 22-32.
    [26] Leydesdorff L, Zhou P. Co-Word Analysis Using the Chinese Character Set [J]. Journal of the American Society for Information Science and Technology, 2008, 59(9): 1528-1530.
    [27]蒋颖.1995~2004年文献计量学研究的共词分析[J].情报学报,2006, 25(4):504-51.
    [28]刘则渊,尹丽春.国际科学学主题共词网络的可视化研究[J].情报学报,2006, 25(5):634-640.
    [29]周静怡,孙坦,陈涛.共词可视化:以人类基因组领域为例[J].情报学报,2007, 26(4):532-537.
    [30]刘蓓,袁毅,Boutin Eric.社会网络分析法在论文合作网中的应用研究[J].情报学报,2008, 27(3):407-417.
    [31]冯璐,冷伏海.共词分析方法理论进展[J].中国图书馆学报,2006,(2):88-92.
    [32]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.
    [33]钟伟金,李佳.共词分析法研究(三)——共词聚类分析法的原理与特点[J].情报杂志,2008, 27(7): 118-120.
    [34]李永梅.基于文献计量学的知识管理学科发展态势分析[J].情报探索,2008, (9): 33-36.
    [35]张勤,徐绪松.共词分析法与可视化技术的结合:揭示国外知识管理研究结构[J].管理工程学报,2008, 22(4): 30-35.
    [36]马费成,宋恩梅.我国情报学研究分析:以ACA为方法[J].情报学报,2006, 25(3): 256-268.
    [37]马费成,望俊成,陈金霞,胡超.我国数字信息资源研究的热点领域:共词分析透视[J].情报理论与实践, 2007, 30(4): 438-443.
    [38]张勤,马费成.国外知识管理研究范式——以共词分析为方法[J].管理科学学报,2007, 10(6): 65-75.
    [39]张勤,马费成.国内知识管理研究结构探讨——以共词分析为方法[J].情报学报,2008, 27(1): 93-101.
    [40]李长玲,翟雪梅.我国情报学硕士学位论文的共词聚类分析[J].情报科学,2008, (1): 73-76.
    [41] White H D, McCain K W. Annual Review of Information Science and Technology [J]. Bibliometrics, 1989, (24): 119-186.
    [42] White H D, McCain KW. Visualizing a discipline: An author co-citation analysis of information science, 1972-1995 [J]. Journal of the American Society for Information Science, 1998, 49 (4): 327-356.
    [43] Tsay MY, Xu H, Wu CW. Author co-citation analysis of semiconductor literature [J]. Scientometrics, 2003, 58 (3): 529-545.
    [44] Ding Y, Chowdhury G, Foo S. Mapping the intellectual structure of information retrieval studies: an author co-citation analysis, 1987-1997[J]. Journal of information science, 1999, 25 (1): 67-78.
    [45] Acedo FJ, Casillas JC. Current paradigms in the international management field: An author co-citation analysis [J]. International Business Review, 2005, 14 (5): 619-639.
    [46] Nerur SP, Rasheed AA, Natarajan V. The intellectual structure of the strategic management field: An author co-citation analysis [J]. Strategic Management Journal, 2008, 29 (3): 319-336.
    [47]王崇德,余姗.关于双同被引聚类的研究[J].情报学刊, 1992, 13 (1): 17-22, 34.
    [48]宋丽萍.从两次ACA分析看情报科学的发展[J].图书情报工作,2004, (10): 35-37,44.
    [49]宋丽萍,徐引篪.基于可视化的作者同被引技术的发展[J].情报学报,2005, 24(2): 193-198.
    [50]刘林青.绘制战略管理的知识地图——作者共被引分析[J].管理评论,2005, 17(5): 55-62.
    [51]刘则渊,梁永霞,庞杰.国际人因工程主流学术群体及其代表人物[J].科技管理研究,2007, 27(7): 252-254.
    [52]侯海燕.权威科学计量学家对科学的关注及贡献[J].情报杂志, 2006, (4): 118-120.
    [53]侯海燕,刘则渊,陈悦,姜春林,尹丽春,庞杰.当代国际科学学研究热点演进趋势知识图谱[J].科研管理,2006, 27(3): 90-96.
    [54]彭绪梅,许振亮,刘元芳.国际创业型大学研究现状的知识图谱分析[J].科学学与科学技术管理, 2007, 28(12): 116-118, 139.
    [55]邱均平,马瑞敏.网络环境下ACA方法的应用研究[J].图书情报资料工作,2008, 52(2): 85-87.
    [56]许振亮、陈悦、尹丽春、刘则渊.中国技术创新理论前沿知识图谱:作者共被引视角[J].图书情报资料工作,2008, 52(2): 90-94.
    [57]赵勇、沙勇忠.当代情报学研究的知识图谱:基于ACA的分析[J].科学学研究, 2009, 28(6): 63-69.
    [58]赵勇,孙成权,沙勇忠.国际生物制氢相关研究的知识图谱分析[J].中国生物工程杂志,2009, 29(1): 116-121.
    [59]廖胜姣,肖仙桃.科学知识图谱应用研究概述[J].情报理论与实践, 2009, 32(1): 122-125.
    [60]梁永霞,刘则渊,杨中楷,王贤文.引文分析领域前沿与演化知识图谱[J].科学学研究,2009, 27(4): 516-522.
    [61]秦长江,侯汉清.知识图谱——信息管理与知识管理的新领域[J].大学图书馆学报,2009, (1): 30-36.
    [62]赵蓉英,雷将,马瑞敏,邱均平.我国五大数据库引文功能的比较研究[J].情报理论与实践,2008, 31(4): 589-593.
    [63]邹志仁.中文社会科学引文索引(CSSCI)--研制、意义与功能[J].南京大学学报(哲学.人文科学.社会科学版),2000, (4): 145-154.
    [64]张晗,崔雷.生物信息学的共词分析研究[J].情报学报,2003, 22(5): 613—617.
    [65]郑华川,于晓欧,辛彦.利用共词聚类分析探讨抗原CD44研究现状[J].中华医学图书情报杂志,2002, 11(2): 1-3.
    [66]侯跃芳,崔雷.医学信息存储与检索研究热点的共词聚类分析[J].中华医学图书情报杂志,2004, 13(1): 1-4.
    [67]魏瑞斌.基于关键词的情报学研究主题分析[J].情报科学,2006, 24(9): 1400-1404.
    [68]谢彩霞,梁立明,王文辉.我国纳米科技论文关键词共现分析[J].情报杂志,2005, (3):69-72.
    [69]薛薇编著.统计分析方法及应用[M].北京:电子工业出版社,2004, 301-302.
    [70] Bauin S, et a1. Using bibliometfics in strategic analysis:“understanding chemical reactions”at the CNRS[J]. Scientometrics, 1991, 22(1): 113-137.
    [71] Cimino JJ, Barnett GO. Automatic Knowledge Acquisition From MEDLINE. Methods Inf Med. 1993, 32(2): 120-130.
    [72] Callon M, Courtial 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.
    [73]李文兰,杨祖国.从关键词的变化看中国图书馆学研究主题的发展[J].图书情报工作,2002, 48(12): 115-118.
    [74]罗式胜.文献计量学概论[M].广州:广州中山大学出版社, 1994: 11-l2.
    [75]郭雷,许晓鸣.复杂网络[M].上海:上海科技教育出版社, 2006: 280-282.
    [76]王柏,吴巍,徐超群.复杂网络可视化研究综述[J].计算机科学, 2007, 34(4): 17-23.
    [77] Wouter de Nooy, Vladimir Batagelj, Andrej Mrvar. Exploratory Network Analysis with Pajek [M]. London: Cambridge University Press, 2005: 226-254.
    [78] Vladimir Batagelj, Andrej Mrvar. List of commands with short explanation version 1.16[M]. Slovenia: Andrej Mrvar Faculty of Social Sciences University of Ljubljana, PDF LaTex version October 1, 2003: 11-12.
    [79]薛薇编著. SPPSS统计分析方法及应用[M].北京:电子工业出版社,2004: 316-317.
    [80]邱均平,侯婕.近五年来国外图书馆学情报学论文的计量研究[J].中国图书馆学报, 2008, 34(178): 47-52.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700