基于趋势分析的学科研究主题优先级战略坐标

李秀霞

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科研管理 ›› 2021, Vol. 42 ›› Issue (8) : 75-81.

论文

基于趋势分析的学科研究主题优先级战略坐标

李秀霞，韩霞，史盛楠

作者信息 +

A study of the priority strategy coordinates of subject research topics based on trend analysis

Li Xiuxia, Han Xia, Shi Shengnan

Author information +

文章历史 +

摘要

对学科领域研究主题优先级进行战略分析，能够帮助科研人员及科研管理决策部门快速了解学科领域的研究态势、发现科学前沿，对提高科研产出起到积极的支持和促进作用。本文以图书情报学研究主题为例，采用主题提取与趋势分析相结合的方法，在提取学科主题基础上，从发文趋势和引文趋势两个维度，绘制含“研究贫乏区、热点区、冷点区、过热区”的我国图书情报学领域研究主题战略坐标。研究表明：本文提出的趋势战略坐标能够有效展示学科领域不同研究主题的发展阶段，全面、细致地呈现不同研究主题的发展等级。

Abstract

The priority strategic analysis of subject area research topics can be used to help researchers and decision-making departments know the research situation of subject areas and find the frontiers of science quickly, which plays a positive role in supporting and promoting scientific research. In this paper, we consider the user′s requirements fully and put forward the strategic coordinates based on the combination of topic extraction and trend analysis. The strategic coordinates divide the research subjects into four areas, they are poor area, hot area, cold area and overheated area. Then we take the research topics of Library and Information Science as an example to draw up strategic coordinates.
Firstly, we download 26,721 valid documents from 2007 to the present in the main core journals in the CNKI database, and use the jiebaR program package in the R software to segment the title and abstract information of the above-mentioned documents and filter pausing-words. Secondly, we use the LDA topic model to extract more than 10 years research topics in the field of Library and Information Science in China, and determine the optimal 100 topics according to the inflection point of perplexity and logarithmic likelihood varying with the number of topics. Thirdly, we calculate the publication trend and citation trend of 100 topic words. Finally, we draw the strategic coordinates of the research topics in the field of Library and Information Science in China according to publication trend and citation trend of 100 topic words. The strategic coordinates divide the research topics into research poor areas, research hot spots, research cold spots and research overheated areas. The specific division process can be seen as follows: if the number of published papers is decreasing and the number of citations is increasing, the corresponding research subjects are in the poor area; if both the number of published papers and the citations are increasing, the corresponding research subjects are in the hot area; if both the number of published papers and the citations are decreasing, the corresponding research subjects are in the cold area; and if the number of published papers is increasing and the number of citations is decreasing, the corresponding research subjects are in the overheated area. Then we made a detailed and specific analysis of the research topics of each area.
This study combines publication trend and citation trend to draw strategic coordinates. This study can comprehensively analyze the development trend of the research topic by perspectives of the researcher and the reader. We determine the optimal number of topics according to the inflection point of perplexity and logarithmic likelihood varying with the number of topics, so the determination of the number of research topics is scientific and reasonable; The study can display the full picture of research topics in the subject area comprehensively, objectively and meticulously. The study has a certain guiding role for scientific researchers in the subject field to quickly discover the scientific frontiers and position the research direction by combining topic extraction and trend analysis, and has an important auxiliary decision-making role for scientific research topics and project applications.

导出引用

李秀霞, 韩霞, 史盛楠. 基于趋势分析的学科研究主题优先级战略坐标[J]. 科研管理. 2021, 42(8): 75-81

Li Xiuxia, Han Xia, Shi Shengnan. A study of the priority strategy coordinates of subject research topics based on trend analysis[J]. Science Research Management. 2021, 42(8): 75-81

参考文献

[1] 张晓林.颠覆数字图书馆的大趋势 [J] . 中国图书馆学报,2011(9):04-11.

ZHANG Xiaolin. The general trend of disrupting digital libraries [J]. Journal of Library Science in China, 2011(9):04-11.

[2] 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.

[3] 赵蓉英,吴胜男.我国开放存取研究主题和作者影响力分析——战略坐标与社会网络分析相融合视角[J] . 情报理论与实践, 2013, 36(11): 57-62.

ZHAO Rongying, WU Shengnan. Research topics and author influence analysis of china's open access——Base on strategic coordinates and social network analysis[J]. Information Studies: Theory&Application, 2013, 36(11): 57-62.

[4] JIMéNEZ CONTRERAS E, DELGADO Lózar E, RUIZ Pérez R, et al．Co-network analysis［C］/ / ISSI 2005： Proceedings of the 10th International Conference of the International Society for Scientometrics and Informetrics．Stockholm: Karolinska University Press, 2005．

[5] YANG Y, WU M Z, CUI L.Integration of three visualization methodsbased on co-word analysis[J]. Scientometrics, 2012, 90(2): 659-673.

[6] 王凌燕, 方曙, 季培培.利用专利文献识别新兴技术主题的技术框架研究 [J] . 图书情报工作, 2011, 55(18): 74-78+23．

WANG Lingyan, FANG Shu, JI Peipei. Using patent documents to study the technology framework of detecting emerging technology topics [J]. Library and Information Service, 2011, 55(18): 74-78+23．

[7] 马费成, 望俊成, 张于涛. 国内生命周期理论研究知识图谱绘制--基于战略坐标图和概念网络分析法 [J] .情报科学, 2010, 28(4): 481-487, 506.

MA Feicheng, WANG Juncheng, ZHANG Yutao. The knowledge map of domestic life cycle theory studies——Based on strategic diagram and conceptual network methods [J] .Information Science, 2010, 28(4): 481-487, 506.

[8] 李秀霞, 邵作运. “密度-距离”快速搜索聚类算法及其在共词聚类中的应用[J]. 情报学报, 2016,35 (4) :

380-388.

LI Xiuxia, SHAO Zuoyun. The fast search clustering algorithm based on density-distance and its application in the co-word clustering analysis[J] . Journal of The China Society for Scientific and Technical Information, 2014, 58(18): 95-101.

[9] 钟伟金. 共词分析法应用的规范化研究——主题词和关键词的聚类效果对比分析[J]. 图书情报工作, 2011, 55( 6): 114－118．

ZHONG Weijin. Empirical study on effectiveness of the co-word cluster analysis—— comparative analysis on the clustering results of subject heedings and keywords [J] . Library and Information Service, 2011, 55(6): 114－118．

[10] 崔雷, 杨颖.重点学科发展战略情报研究(一)——引文战略坐标[J] .情报理论与实践, 2009, 32(6): 8-13.

CUI Lei, YANG Ying. Strategic intelligence research of the development of key subject [J].Information Studies:Theory & Application, 2009, 32(6): 8-13.

[11] 李雅.优化战略坐标方法在科研选题中的应用研究——以那他霉素纳米乳新型纳米乳创制为例[J],图书情报工作,2014,58(18):95-101.

LI Ya. Research of a novel strategic diagram method applied in scientific research topic selection: a case in studies on preparation and efficacy of natamycin nanoemulsion [J] . Library and Information Service, 2014, 58(18): 95-101.

[12] 储伊力. 基于三维战略坐标图的信息经济学热点分析[J].图书情报研究, 2016, (2): 87-92.

CHU Yili. An analysis of the hot spots in information economics based on the three-dimensional strategic diagram [J] . Library & Information Studies, 2016, (2): 87-92.

[13] 关鹏, 王日芬. 科技情报分析中LDA主题模型最优主题数确定方法研究[J]. 现代图书情报技术, 2016, 32(9): 42-50.

GUAN Peng,WANG Yuefen. Identifying optimal topic numbers from sci-tech information with lda model [J]. New Technology of Library and Information Service, 2016, 32(9): 42-50.

[14] 马长林, 杨正良, 谢罗迪.文本分类中CTM模型的优化和可视化应用研究 [J]. 计算机工程与科学, 2017, 39(3): 599-604.

MA Changlin, YANG Zhengling, XIE Luodi. Optimization and visualization application of CTM model in text classification [J]. Computer Engineering & Science, 2017, 39(3): 599-604.

[15] 王博, 刘盛博, 丁堃,等. 基于LDA主题模型的专利内容分析方法[J]. 科研管理, 2015, 36(3):111-117.

WANG Bo, LIU Shengbo, DING Kun, et al. Patent content analysis method based on LDA topic model
[J].Science Research Managemen, 2015, 36(3):111-117.

[16] 李纲, 袁满, 许亮.基于管理科学重要期刊的985高校管理科学十年研究主题多维分析[J]. 科技管理研究, 2017 (4) : 211-218.

LI Gang, Yuan Man, Xu Liang. Ten-year research topic multidimensional analysis in management science of the 985-project universities based on the important journals [J]. Science and Technology Management Research, 2017 (4): 211-218.

[17] JGibbLDA-v.1.0 [CP/OL]. [2015-12-11]. http://sourceforge.net/projects/jgibblda/.