INFORMATION RESEARCH

An Initial Exploration of Keyword Trait-Groups Analysis in Identifying Research Hotspots: A Case Study in the Field of Crop Breeding

  • Gong Yue ,
  • Huang Longguang ,
  • Chang Zhijun ,
  • Zhang Chaoxing
Expand
  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190

Received date: 2023-08-18

  Revised date: 2023-10-29

  Online published: 2024-01-06

Abstract

[Purpose/Significance] Traditional methods in identifying research hotspots risk the obscuring of low-frequency terms and the tangled intermingling of clustered keywords, so the Keyword Trait-groups Analysis method (KTA) is proposed. By constructing models in alignment with research paradigms, KTA is adopted to discern detailed scientific insights and logical coherence, and reveal the comprehensive and structured revelations of research hotspots, which is useful for high-quality recognition within diverse academic fields. [Method/Process] After delineating the concept of KTA, it inducted the typical research paradigms within various academic disciplines. According to the principles and methodology of keyword trait-groups on the paradigms, it constructed a KTA model for pinpointing research hotspots. [Result/Conclusion] Papers in crop breeding in 2023 were selected as empirical dataset to validate the feasibility and effectiveness of KTA. The results demonstrate that, compared with the traditional method, KTA can effectively avoid isolated analysis, and enable an enriched dimensionality and more precise perspective from a meso level. This method can provide high-quality intelligence support for academic field trend analysis, research innovation strategies, and other applications.

Cite this article

Gong Yue , Huang Longguang , Chang Zhijun , Zhang Chaoxing . An Initial Exploration of Keyword Trait-Groups Analysis in Identifying Research Hotspots: A Case Study in the Field of Crop Breeding[J]. Library and Information Service, 2023 , 67(24) : 85 -98 . DOI: 10.13266/j.issn.0252-3116.2023.24.008

References

[1] 罗瑞, 许海云, 董坤.领域前沿识别方法综述[J].图书情报工作, 2018, 62(23):119-131. (LUO R, XU H Y, DONG K.A review of the main recognition methods of frontier research[J].Library and information service, 2018, 62(23):119-131.)
[2] 卢超, 侯海燕, DING Y, 等.国外新兴研究话题发现研究综述[J].情报学报, 2019, 38(1):97-110. (LU C, HOU H Y, DING Y, et al.Review of international studies on discovering emerging topics[J].Journal of the China Society for Scientific and Technical Information, 2019, 38(1):97-110.)
[3] 李长玲, 刘运梅, 牌艳欣.基于p指数的学术团体识别与评价研究[J].情报理论与实践, 2018, 41(9):63-68. (LI C L, LIU Y M, PAI Y X.Recognition and evaluation of academic group based on p-index[J].Information studies:theory & application, 2018, 41(9):63-68.)
[4] 李慧, 王若婷.基于文献-关键词双模网络的热点识别方法研究——以数字人文领域为例[J].情报理论与实践, 2022, 45(11):107-114. (LI H, WANG R T.Research on identification methods of hotspots based on document-keyword twomode network:a case study of the digital humanities field[J].Information studies:theory & application, 2022, 45(11):107-114.)
[5] 张发亮, 刘君杰.中国学科建设研究现状与主题演化可视化分析[J].农业图书情报, 2019, 31(6):31-39. (ZHANG F L, LIU J J.Visual analysis on research status and themes evolution of discipline construction research in China[J].Journal of library and information science in agriculture, 2019, 31(6):31-39.)
[6] 陈红喜, 关聪, 王袁光曦.国内科技成果转化研究的现状和热点探析——基于共词分析和社会网络分析视角[J].科技管理研究, 2020, 40(7):125-134. (CHEN H X, GUAN C, WANG Y G X.Analysis of status quo and hotspots of domestic S&T achievements transformation:based on analysis of co-words and social network analysis[J].Science and technology management research, 2020, 40(7):125-134.)
[7] 孙晨霞, 施羽暇.近年来大数据技术前沿与热点研究——基于2015-2021年VOSviewer相关文献的高频术语可视化分析[J].中国科技术语, 2023, 25(1):88-96. (SUN C X, SHI Y X.Frontier and hot topics in big data technology:visual analysis of high-frequency terms based on relevant documents of VOSviewer from 2015 to 2021[J].China terminology, 2023, 25(1):88-96.)
[8] 贠涛, 巩玥, 谷芃, 等.中国与"一带一路" 参与国家抗击新冠肺炎疫情的国际科技合作现状与展望[J].中国生物工程杂志, 2021, 41(7):110-121. (YUN T, GONG Y, GU P, et al.Present situation and prospect of international S&T cooperation between China and countries participating in the "Belt and Road" initiative to combat COVID-19[J].China biotechnology, 2021, 41(7):110-121.)
[9] 张丁杰.近25年英国科学哲学研究前沿及其知识基础发展态势研究——基于《英国科学哲学杂志》 1991-2015年SCI文献计量分析[J].科学技术哲学研究, 2019, 36(3):117-123. (ZHANG D J.The development trend of the frontier of British scientific philosophy and its knowledge base in the last 25 years:based on bibliometric analysis of British Journal for the Philosophy of Science from 1991 to 2015[J].Studies in philosophy of science and technology, 2019, 36(3):117-123.)
[10] 杨小平, 汪常明.基于CNKI的我国古陶瓷研究发展态势及热点分析[J].中国陶瓷工业, 2018, 25(4):11-16. (YANG X P, WANG C M.The development trend and research focus analysis of Chinese ancient ceramics based on CNKI[J].China ceramic industry, 2018, 25(4):11-16)
[11] 李钟隽, 孙瑞英, 张涛.基于文献计量的中国舆论生态学研究现状分析(2004年-2019年)[J].农业图书情报学报, 2020, 32(2):5-13. (LI Z J, SUN R Y, ZHANG T.Analysis of the research status of public opinion ecology in China based on bibliometrics(2004-2019)[J].Journal of library and information science in agriculture, 2020, 32(2):5-13.)
[12] 杨林朋, 董一超, 赵祖桉, 等.我国医学信息学领域的研究现状及其可视化分析[J].中国卫生产业, 2019, 16(22):160-164. (YANG L P, DONG Y C, ZHAO Z A, et al.Research status and visual analysis of medical information science in China[J].China health industry, 2019, 16(22):160-164.)
[13] 于舒曼, 马秀峰.基于词频分析和共词聚类的图书馆创客空间研究热点分析[J].大学图书情报学刊, 2019, 37(2):97-101. (YU S M, MA X F.Analysis of library makerspace based on word frequency analysis and co-word clustering[J].Journal of academic library and information science, 2019, 37(2):97-101.)
[14] 李艳梅, 周亚文, 廖上强, 等.基于文献计量学的生物炭基肥领域发展态势分析[J].中国农业信息, 2019, 31(2):98-109. (LI Y M, ZHOU Y W, LIAO S Q, et al.Trends in research on carbonbased fertilizer based on bibliometrics[J].China agricultural informatics, 2019, 31(2):98-109.)
[15] 张临英.3D打印在教育中的应用解析——基于文献的共词可视化研究[J].中国医学教育技术, 2019, 33(3):285-290. (ZHANG L Y.Application analysis of 3D printing in education:based on co-word visualization of literature[J].China medical education technology, 2019, 33(3):285-290.)
[16] 岳增慧, 许海云.基于共词分析的医学伦理学领域主题热点及演进态势[J].中华医学图书情报杂志, 2016, 25(1):43-51. (YUE Z H, XU H Y.Co-ward analysis-based subject hotspots in medical ethics and their evolution situation[J].Chinese journal of medical library and information science, 2016, 25(1):43-51.)
[17] 苏燕, 李祯祺, 周琳颖, 等.神经退行性疾病领域国际研发态势分析[J].科学观察, 2018, 13(3):1-8. (SU Y, LI Z Q, ZHOU L Y, et al.International development trend of neurodegenerative diseases[J].Science focus, 2018, 13(3):1-8)
[18] 孙佳佳, 李雅静.基于关键词价值细分的高价值热点主题识别方法研究[J].情报学报, 2022, 41(2):118-129. (SUN J J, LI Y J.Recognition of high-value hot topics based on value segmentation of keywords[J].Journal of the China Society for Scientific and Technical Information, 2022, 41(2):118-129.)
[19] 栾锟, 李长玲, 王欣欣, 等.学科研究热点识别新视角:主题动能——以图书情报领域为例[J].情报理论与实践, 2023, 46(3):16-23. (LUAN K, LI C L, WANG X X, et al.A new perspective on identifying discipline research hotspots:topic kinetic energy:take LIS as an example[J].Information studies:theory & application, 2023, 46(3):16-23.)
[20] 于晶.基于社会化问答社区涌现模式分析的领域热点识别研究[J].情报学报, 2021, 40(2):213-222. (YU J.Detection of hotspot in scientific fields based on emerging pattern analysis of social Q&A community contents[J].Journal of the China Society for Scientific and Technical Information, 2021, 40(2):213-222.)
[21] 周笑盈.基于关键词标引的近5年国际数字图书馆研究热点与趋势分析[J].农业图书情报, 2019, 31(4):37-47. (ZHOU X Y.Analysis of hotspots and trends of international digital library research in recent five years based on keyword indexing[J].Journal of library and information science in agriculture, 2019, 31(4):37-47.)
[22] 李长玲, 牌艳欣, 相富钟, 等.改进z指数的高被引学科研究热点识别方法探讨[J].情报理论与实践, 2020, 43(6):69-75, 96. (LI C L, PAI Y X, XIANG F Z, et al.Discussion on the method of identifying subjects research hot spots of highly cited using an improved z-index[J].Information studies:theory & application, 2020, 43(6):69-75, 96.)
[23] 陆泉, 曹越, 陈静.基于语义关联与模糊聚类的共词分析方法[J].情报学报, 2022, 41(10):1003-1014. (LU Q, CAO Y, CHEN J.A co-word analysis method based on semantic relevance and fuzzy clustering[J].Journal of the China Society for Scientific and Technical Information, 2022, 41(10):1003-1014.)
[24] 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, 60(10):123-129. (SUN H S.Study on improvement of clustering results of co-word analysis based on link communities algorithm[J].Library and information service, 2016, 60(10):123-129.)
[25] 胡静, 舒予.基于情报分析工具与专家判断对照的情报分析模式研究——以石墨烯研究为例[J].情报杂志, 2021, 40(5):57-62, 33. (HU J, SHU Y.Research on information analysis model based on the comparison of information analysis tools and expert judgment:a case study of graphene[J].Journal of intelligence, 2021, 40(5):57-62, 33.)
[26] 中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会.中华人民共和国国家标准学科分类与代码[EB/OL].[2023-12-19].http://c.gb688.cn/bzgk/gb/showGb?ty pe=online&hcno=4C13F521FD6ECB6E5EC026FCD779986E. (General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China.National standards of the People's Republic of China[EB/OL].[2023-12-19].http://c.gb688.cn/bzgk/gb/showGb?type=online&hcno=4C13F521FD6ECB6E5EC026FCD779986E.)
[27] ELLENBERG H, LEUSCHNER C, DIERSCHKE H.Vegetation Mitteleuropas Mit Den Alpen:in Ökologischer, Dynamischer and Historischer[M].Stuttgart:Ulmer, 2010.
[28] ADIN S N, GUPTA I, RASHID M A, et al.Nanotransethosomes for enhanced transdermal delivery of mangiferin against rheumatoid arthritis:formulation, characterization, invivo pharmacokinetic and pharmacodynamic evaluation[J].Drug delivery, 2023, 30(1):2173338.
[29] 徐晓征, 施俊生, 游兆彤, 等.应对极端气候的水稻品种选择与育种技术对策[J].浙江农业科学, 2023, 64(4):786-790. (XU X Z, SHI J S, YOU Z T, et al.Rice variety selection and breeding technology countermeasures for extreme climate[J].Journal of Zhejiang agricultural sciences, 2023, 64(4):786-790.)
[30] 张超星.学科领域发展态势分析:五维分析法[J].情报学报, 2020, 39(11):1204-1213. (ZHANG C X.Development trends of science discipline:five-dimension analysis method[J].Journal of the China Society for Scientific and Technical Information, 2020, 39(11):1204-1213.)
[31] 张超星, 谭宗颖, 朱相丽, 等.Web of science中关键词的利用方式对情报分析结果的影响及选择建议——基于超临界二氧化碳技术领域的实证分析[J].情报科学, 2017, 35(6):73-79. (ZHANG C X, TAN Z Y, ZHU X L, et al.The effect of different keywords in Web of science to the results of information analysis and the corresponding suggestion:based on the empirical analysis of supercritical CO2 technology[J].Information science, 2017, 35(6):73-79.)
[32] 胡昌平, 陈果.科技论文关键词特征及其对共词分析的影响[J].情报学报, 2014, 33(1):23-32. (HU C P, CHEN G.Characteristics of keywords in scientific papers and their impact on co-word analysis[J].Journal of the China Society for Scientific and Technical Information, 2014, 33(1):23-32.)
[33] 樊龙江, 王卫娣, 王斌, 等.作物育种相关数据及大数据技术育种利用[J].浙江大学学报(农业与生命科学版), 2016, 42(1):30-39. (FAN L J, WANG W D, WANG B, et al.Crop breeding-related data and application of big data technologies in crop breeding[J].Journal of Zhejiang University (agriculture and life sciences), 2016, 42(1):30-39.)
[34] XU Y, ZHANG X, LI H, et al.Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction[J].Molecular plant, 2022, 15(11):1664-1695.
[35] TONG H, NIKOLOSKI Z.Machine learning approaches for crop improvement:leveraging phenotypic and genotypic big data[J].Journal of plant physiology, 2021, 257:153354.
[36] 董春水, 才卓.现代数字育种技术的研究进展[J].玉米科学, 2013, 21(1):1-8. (DONG C S, CAI Z.Advances in modern datadriven breeding technologies[J].Journal of maize sciences, 2013, 21(1):1-8.)
[37] 刘忠强, 王开义, 赵向宇, 等.云环境下作物育种信息化模型研究[J].农机化研究, 2017, 39(3):7-11, 21. (LIU Z Q, WANG K Y, ZHAO X Y, et al.Research on information model of plant breeding under cloud environment[J].Journal of agricultural mechanization research, 2017, 39(3):7-11, 21.)
[38] CROSSA J, FRITSCHE-NETO R, MONTESINOS-LOPEZ O, et al.The modern plant breeding triangle:optimizing the use of genomics, phenomics, and enviromics data[J].Frontiers in plant science, 2021, 12:651480.
[39] 罗炬, 杨尧城, 唐绍清, 等.超高产早稻新品种中嘉早17的选育及栽培技术[J].中国稻米, 2009(6):50-51. (LUO J, YANG Y C, TANG S Q, et al.Breeding and cultivation techniques of a new super high yielding early rice variety Zhongjiazao17[J].China rice, 2009(6):50-51)
[40] 潘美娜.基因编辑GmMIR396以增大大豆的荚果和籽粒[D].济南:山东师范大学, 2022. (PAN M N.Enlarging soybean pod and seed size by editing GmMIR396[D].Jinan:Shandong Normal University, 2022.)
[41] The Materials Genome Initiativel.The 2021 materials genome initiative strategic plan[EB/OL].[2023-10-18].https://www.mgi.gov/.
[42] 上海交通大学.数据驱动的材料科学与高通量计算平台[EB/OL].[2023-12-18].https://itoc.sjtu.edu.cn/wp-content/uploads/2019/06/zhang-lanting.pdf. (Shanghai Jiao Tong University.Data-driven material science and high-throughput computing platforms[EB/OL].[2023-12-18].https://itoc.sjtu.edu.cn/wp-content/uploads/2019/06/zhang-lanting.pdf.)
[43] 傅柱, 王曰芬, 陈必坤.国内外知识流研究热点:基于词频的统计分析[J].图书馆学研究, 2016(14):2-12, 21. (FU Z, WANG Y F, CHEN B K.A comparison of the research hotspots of knowledge flow between China and overseas:a bibliometric analysis based on word frequency[J].Research on library science, 2016(14):2-12, 21.)
[44] 中国科学技术大学图书馆.Nature Nano数据库开通正式使用[EB/OL].[2023-12-19].https://lib.ustc.edu.cn/cat_news/%e 8%b5%84%e6%ba%90%e5%8a%a8%e6%80%81/%e3%80%90%e9%80%9a%e7%9f%a5%e3%80%91nature-nano-%e6%95%b0%e6%8d%ae%e5%ba%93%e5%bc%80%e9%80%9a%e6%ad%a3%e5%bc%8f%e4%bd%bf%e7%94%a8/. (The Library of University of Science and Technology of China.Nature Nano was officially launched[EB/OL].[2023-12-19].https://lib.ustc.edu.cn/cat_news/%e8%b5%84%e6%ba%90%e5%8a%a8%e6%80%81/%e3%80%90%e9%80%9a%e7%9f%a5%e3%80%91natu re-nano-%e6%95%b0%e6%8d%ae%e5%ba%93%e5%bc%80%e 9%80%9a%e6%ad%a3%e5%bc%8f%e4%bd%bf%e7%94%a8/.)
Outlines

/