收稿日期: 2016-06-01
修回日期: 2016-10-10
网络出版日期: 2016-11-05
基金资助
本文系国家社会科学基金青年项目“学科结构与演化的可视化分析理论框架及应用研究”(项目编号:15CTQ035)和国家自然科学基金面上项目“新研究领域科学文献传播网络生成及对传播效果影响研究”(项目编号:71373124)研究成果之一。
Contents Research of Visualization Analysis of Discipline Structure and Evolution
Received date: 2016-06-01
Revised date: 2016-10-10
Online published: 2016-11-05
[目的/意义] 针对可视化背景下科学计量学的研究现状,从空间和时间维度出发,梳理当前主要的研究内容,为相关研究提供参考。[方法/过程] 从空间和时间维度提出学科可视化分析,包括学科结构可视化分析和学科演化可视化分析,根据不同文献粒度的选择和分析单元的类型以及研究目的将学科结构的内容主要分为学科合作结构、学科主题结构、学科引文结构、跨学科和学科知识结构,将学科演化的内容主要分为学科合作结构演化、学科主题结构演化、学科知识基础、学科研究前沿和学科预测,并按照学科可视化分析的基本步骤对各部分研究内容展开论述。[结果/结论] 以空间和时间为基本维度并依据学科可视化分析基本步骤为内在主线梳理当前研究是一种新颖有效的视角。
陈必坤 , 王曰芬 . 学科结构与演化可视化分析的内容研究[J]. 图书情报工作, 2016 , 60(21) : 87 -95 . DOI: 10.13266/j.issn.0252-3116.2016.21.012
[Purpose/significance] Considering the fast-growing research on scientometrics in the visualization background, this paper proposed a new perspective to summarize the research status. [Method/process] It proposed that visualization analysis of discipline included visualization analysis of discipline structure and evolution from the space and time dimension. In terms of units' features and research purpose of science mapping, visualization analysis of discipline structure included disciplinary cooperation structure, disciplinary theme structure, disciplinary citation structure, interdisciplinary and disciplinary intellectual structure, and visualization analysis of discipline evolution included evolution of disciplinary cooperation structure, evolution of disciplinary theme structure, knowledge base, research front and disciplinary prediction. Then, the contents of each type were elaborated according to the core procedures of science mapping. [Result/conclusion] It is novel and applicable to summarize the research status from the space and time dimension and core procedures of science mapping.
[1] SCHARNHORST A, BÖRNER K, VAN DEN B P. Models of science dynamics:encounters between complexity theory and information sciences[M]. London:Springer, 2012:6-18.
[2] CHEN C. Mapping scientific frontiers:the quest for knowledge visualization[M]. London:Springer, 2013.
[3] 邹晓顺, 王晓芬, 邓珞华. 图书情报应用数学:知识组织、发现和利用中的数学方法[M]. 北京:国家图书馆出版社, 2012:26-27.
[4] 化柏林, 武夷山.动态环境需要演化分析[J]. 情报学报, 2013, 32(9).
[5] 谢彩霞. 科学合作的功能与计量[M]. 北京:中国社会科学出版社, 2010:38.
[6] CRONIN B. Invisible colleges and information transfer:a review and commentary with particular reference to the social sciences[J]. Journal of documentation, 1982, 38(3):212-236.
[7] LEYDESDORFF L, WAGNER C S. International collaboration in science and the formation of a core group[J]. Journal of informetrics, 2008, 2(4):317-325.
[8] LEYDESDORFF L, PERSSON O. Mapping the geography of science:distribution patterns and networks of relations among cities and institutes[J]. Journal of the American Society for Information Science and Technology, 2010, 61(8):1622-1634.
[9] 郭红梅, 张智雄. 基于图挖掘的文本主题识别方法研究综述[J]. 中国图书馆学报, 2015, 41(6):97-108.
[10] NEWMAN M E J, GIRVAN M. Finding and evaluating community structure in networks[J]. Physical review E, 2004, 69(2):26-113.
[11] BLONDEL V D, GUILLAUME J L, LAMBIOTTE R, et al. Fast unfolding of communities in large networks[J]. Journal of statistical mechanics:theory and experiment, 2008(10):155-168.
[12] VAN ECK N J, WALTMAN L. Software survey:VOSviewer, a computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2):523-538.
[13] LAW J, BAUIN S, COURTIAL J P, et al. Policy and the mapping of scientific change:a co-word analysis of research into environmental acidification[J]. Scientometrics, 1988, 14(3):251-264.
[14] JGibbLDA[CP/OL].[2016-10-10].http://jgibblda.sourceforge.net/.
[15] StanfordTMT[CP/OL].[2016-10-10].http://nlp.stanford.edu/software/tmt/tmt-0.4/.
[16] R Packages[CP/OL].[2016-10-10].https://cran.r-project.org/web/packages/.
[17] 王曰芬, 傅柱, 陈必坤. 采用LDA主题模型的国内知识流研究结构探讨:以学科分类主题抽取为视角[J]. 现代图书情报技术, 2016(4):8-19.
[18] HERLACH G. Can retrieval of information from citation indexes be simplified? Multiple mention of a reference as a characteristic of the link between cited and citing article[J]. Journal of the American Society for Information Science, 1978, 29(6):308-310.
[19] BOYACK K, SMALL H, KLAVANS R. Improving the accuracy of co-citation clustering using full text[J]. Journal of the American Society for Information Science and Technology, 2013, 64(9):1759-1767.
[20] HU Z, CHEN C, LIU Z. Where are citations located in the body of scientific articles? A study of the distributions of citation locations[J]. Journal of informetrics, 2013, 7(4):887-896.
[21] 陆伟, 孟睿, 刘兴帮. 面向引用关系的引文内容标注框架研究[J]. 中国图书馆学报, 2014, 40(6):93-104.
[22] PRIEM J, GROTH P, TARABORELLI D. The altmetrics collection[J]. PLoS ONE, 2012, 7(11):e48753.
[23] 赵蓉英, 郭凤娇, 谭洁. 基于Altmetrics的学术论文影响力评价研究——以汉语言文学学科为例[J]. 中国图书馆学报, 2016, 42(1):96-108.
[24] PORTER A L, COHEN A S, ROESSNER J D, et al. Measuring researcher interdisciplinarity[J]. Scientometrics, 2007, 72(1):117-118.
[25] PORTER A L, ROESSNER J D, COHEN A S, et al. Interdisciplinary research:meaning, metrics and nurture[J]. Research evaluation, 2006, 15(3):187-195.
[26] PIERCE S J. Boundary crossing in research literatures as a means of interdisciplinary information transfer[J]. Journal of the American Society for Information Science, 1999, 50(3):271-279.
[27] RAFOLS I, MEYER M. Diversity and network coherence as indicators of interdisciplinarity:case studies in bionanoscience[J]. Scientometrics, 2010, 82(2):263-287.
[28] LEYDESDORFF L, RAFOLS I, CHEN C. Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations[J]. Journal of the American Society for Information Science and Technology, 2013, 64(12):2573-2586.
[29] CHEN C, LEYDESDORFF L. Patterns of connections and movements in dual-map overlays:a new method of publication portfolio analysis[J]. Journal of the Association for Information Science and Technology, 2014, 65(2):334-351.
[30] MCCAIN K W. Mapping authors in intellectual space:a technical overview[J]. Journal of the American Society for Information Science, 1990, 41(6):433-443.
[31] LEYDESDORFF L, KUSHNIR D, RAFOLS I. Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)[J]. Scientometrics, 2012:1583-1589.
[32] MOYA-ANEGÓN F, VARGAS-QUESADA B, CHINCHILLA-RODRÍGUEZ Z, et al. Visualizing the marrow of science[J]. Journal of the American Society for Information Science and Technology, 2007, 58(14):2167-2179.
[33] KLAVANS R, BOYACK K W. Quantitative evaluation of large maps of science[J]. Scientometrics, 2006, 68(3):475-499.
[34] LEYDESDORFF L, RAFOLS I. A global map of science based on the ISI subject categories[J]. Journal of the American Society for Information Science and Technology, 2009, 60(2):348-362.
[35] ZHANG L, LIU X, JANSSENS F, et al. Subject clustering analysis based on ISI category classification[J]. Journal of informetrics, 2010, 4(2):185-193.
[36] BARABÁSI A L, JEONG H, NÉDA Z, et al. Evolution of the social network of scientific collaborations[J]. Physica A:statistical mechanics and its applications, 2002, 311(3):590-614.
[37] ZHAI L, YAN X, SHIBCHURN J, et al. Evolutionary analysis of international collaboration network of Chinese scholars in management research[J]. Scientometrics, 2014, 98(2):1435-1454.
[38] PALLA G, BARABÁSI A L, VICSEK T. Quantifying social group evolution[J]. Nature, 2007, 446(7136):664-667.
[39] 王晓光, 程齐凯. 基于NEViewer的学科主题演化可视化分析[J]. 情报学报, 2013, 32(9):900-911.
[40] BERGER-WOLF T Y, SAIA J. A framework for analysis of dynamic social networks[C]//Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Philadelphia:ACM, 2006:523-528.
[41] 吴斌. 复杂网络与科技文献知识发现[M]. 北京:科学技术文献出版社, 2011:111-112.
[42] VIEDMA-DEL-JESUS M I, PERAKAKIS P, MUÑOZ M Á, et al. Sketching the first 45 years of the journal Psychophysiology (1964-2008):a co-word-based analysis[J]. Psychophysiology, 2011, 48(8):1029-1036.
[43] COBO M J, LÓPEZ HERRERA A G, HERRERA VIEDMA E, et al. An approach for detecting, quantifying, and visualizing the evolution of a research field:a practical application to the fuzzy sets theory field[J]. Journal of informetrics, 2011, 5(1):146-166.
[44] 程齐凯, 王晓光. 一种基于共词网络社区的科研主题演化分析框架[J]. 图书情报工作, 2013, 57(8):91-96.
[45] SMALL H G. A co-citation model of a scientific specialty:a longitudinal study of collagen research[J]. Social studies of science, 1977,7(2):139-166.
[46] ZHAO D, STROTMANN A. The knowledge base and research front of information science 2006-2010:an author cocitation and bibliographic coupling analysis[J]. Journal of the Association for Information Science and Technology, 2014, 65(5):995-1006.
[47] 赵蓉英, 王菊. 图书馆学知识图谱分析[J]. 中国图书馆学报, 2011, 37(2):40-50.
[48] 陈仕吉. 科学研究前沿探测方法综述[J]. 现代图书情报技术, 2009(9):28-33.
[49] 王小梅, 韩涛, 王俊,等. 科学结构地图2015[M]. 北京:科学出版社, 2015.
[50] MANE K K, BÖRNER K. Mapping topics and topic bursts in PNAS[J]. Proceedings of the National Academy of Sciences, 2004, 101(suppl 1):5287-5290.
[51] 郑彦宁, 许晓阳, 刘志辉. 基于关键词共现的研究前沿识别方法研究[J]. 图书情报工作, 2016, 60(4):85-92.
[52] 王贤文, 毛文莉, 王治. 基于论文下载数据的科研新趋势实时探测与追踪[J]. 科学学与科学技术管理, 2014, 35(4):3-9.
[53] LIBEN-NOWELL D, KLEINBERG J. The link-prediction problem for social networks[J]. Journal of the American Society for Information Science and Technology, 2007, 58(7):1019-1031.
[54] 胡志刚, 陈超美, 刘则渊, 等. 从基于引文到基于引用——一种统计引文总被引次数的新方法[J]. 图书情报工作, 2013, 57(21):5-10.
[55] YAN E, GUNS R. Predicting and recommending collaborations:an author-, institution-, and country-level analysis[J]. Journal of informetrics, 2014, 8(2):295-309.
[56] SHIBATA N, KAJIKAWA Y, SAKATA I. Link prediction in citation networks[J]. Journal of the American Society for Information Science and Technology, 2012, 63(1):78-85. 作者贡献说明:陈必坤:论文撰写; 王曰芬:论文修改。
/
〈 |
|
〉 |