Please wait a minute...
New Technology of Library and Information Service  2011, Vol. 27 Issue (1): 63-68    DOI: 10.11925/infotech.1003-3513.2011.01.10
article Current Issue | Archive | Adv Search |
Hot Research Topics Detection Based on SOM
Lu Wei, Peng Yu, Chen Wu
Center for Studies of Information Resources, Wuhan University, Wuhan 430072,China
Download: PDF(491 KB)   HTML  
Export: BibTeX | EndNote (RIS)      

According to detection of hot topics in a research field, the paper proposes a method combining co-word analysis and SOM together. By analysing the co-occurrence of high-frequency keywords in the literature as input data and using SOM Toolbox for SOM clustering, the collection of hot research topics is obtained.At last a case study is done by taking traditional medicine as an example, and experimental results show that this method is efficient in the process of hot research topics detection.

Key wordsSOM      Hot research topics      Co-word analysis      Traditional medicine     
Received: 22 November 2010      Published: 12 February 2011



Cite this article:

Lu Wei, Peng Yu, Chen Wu. Hot Research Topics Detection Based on SOM. New Technology of Library and Information Service, 2011, 27(1): 63-68.

URL:     OR

[1] Price D J. Networks of Scientific Papers
[J]. Science, 1965,149(3683):510-515.

[2] 马费成,张勤.国内外知识管理研究热点——基于词频的统计分析
[J]. 情报学报 ,2006,25(2):163-171.

[3] Dalpé R, Gauthier E, Ippersiel M P. The State of Nanotechnology Research: Report to the National Research Council of Canada. 1997.

[4] 马费成,望俊成,陈金霞,等. 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.

[5] Courtial J P. A Coword Analysis of Scientometrics

[6] Kleinberg J. Bursty and Hierarchical Structure in Streams. In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.2002:91-101.

[7] Chen C M. CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature
[J]. Journal of the American Society for Information Science and Technology,2006,57(3):359-377.

[8] 李文兰,杨祖国. 情报学研究主题分布的文献计量学分析
[J]. 情报科学 ,2005,23(3):396-400.

[9] Shibata Naoki, Kajikawa Yuya, Takeda Yoshiyuki, et al. Comparative Study on Methods of Detecting Research Fronts Using Different Types of Citation
[J]. Journal of the American Society for Information Science and Technology,2009,60(3):571-580.

[10] 张倩,潘云涛,武夷山. 基于Web of Science数据的图书情报学研究聚类分析
[J]. 情报杂志 ,2007,26(2):82-84.

[11] Chen C M, McCain K, White H, et al. Mapping Scientometrics (1981-2001). In: Proceedings of the 65th Asist Annual Meeting. Medford: Information Today Inc. 2002:25-34.

[12] 刘则渊.科学学理论体系建构的思考——基于科学计量学的中外科学学进展研究报告
[J]. 科学学研究 ,2006,24(1):1-11.

[13] 梁永霞,刘则渊,杨中楷,等.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.

[14] 宋旭昌. 2007年iSchool科研热点分析
[J]. 情报探索 ,2008,12(9):118-121.

[15] Courtial J.P, Callon M, Sigogneau A. The Use of Patent Titles for Identifying the Topics of Invention and Forecasting Trends
[J]. Scientometrics,1993,26(2):231-242.

[16] 安璐.基于自组织映射的期刊主题研究. 武汉:武汉大学,2009.

[17] Laboratory of Computer and Information Science. SOM Toolbox.

[1] Qikai Cheng,Jiamin Wang,Wei Lu. Discovering Domain Vocabularies Based on Citation Co-word Network[J]. 数据分析与知识发现, 2019, 3(6): 57-65.
[2] Hong Ma, Yongming Cai. A CA-LDA Model for Chinese Topic Analysis: Case Study of Transportation Law Literature[J]. 数据分析与知识发现, 2016, 32(12): 17-26.
[3] Xue Fuliang, Zhang Huiying. A Research of Collaborative Filtering Recommender Method Based on SOM and RBFN Filling Missing Values[J]. 现代图书情报技术, 2014, 30(7): 56-63.
[4] Zhao Yuxiang,Peng Xixian. Media as a Community? Literature Based Topic Evaluation in Information Systems Discipline[J]. 现代图书情报技术, 2014, 30(1): 56-65.
[5] Hu Changping, Chen Guo. A New Feature Selection Method Based on Term Contribution in Co-word Analysis[J]. 现代图书情报技术, 2013, 29(7/8): 89-93.
[6] Tang Xiaobo, Xiao Lu. Research of Co-word Analysis Method of Combining Keywords Extension and Domain Ontology[J]. 现代图书情报技术, 2013, 29(11): 60-67.
[7] Ye Chunlei, Leng Fuhai. Theme Identification Empirical Study on Technical Documentation in Full-text[J]. 现代图书情报技术, 2012, 28(1): 53-57.
[8] Yang Ying, Cui Lei. Evolution of Topics About Medical Informatics by Improved Co-word Cluster Analysis[J]. 现代图书情报技术, 2011, 27(1): 83-87.
[9] An Lu, Li Gang. Research on the Salient Subjects and Their Developing Trends of Foreign Library and Information Science Journals[J]. 现代图书情报技术, 2010, 26(9): 48-55.
[10] Wang Lixue,Leng Fuhai,Wang Haixia. Research on Technology Readiness Level and Identified Methods[J]. 现代图书情报技术, 2010, 26(3): 58-63.
[11] Chen Shiji. Survey of Approaches to Research Front Detection[J]. 现代图书情报技术, 2009, (9): 28-33.
[12] Wang Jiandong. Domestic Information Services Research Concept Network Analysis Based on Complex Network Method[J]. 现代图书情报技术, 2009, (10): 56-61.
[13] Liu Yao,Shui Zhifang,Zhou Yang,Wang Zhenguo. Research on Automatic Construction of Chinese Traditional Medicine Ontology Concept’s Description Architecture[J]. 现代图书情报技术, 2008, 24(5): 21-26.
[14] Chen Tun,Chen Xin . A Study on Perl Programming Language Aided Informetrics[J]. 现代图书情报技术, 2006, 1(7): 41-46.
[15] Zhang Han,Cui Lei,Jiang Yang . Finding the Potential Opportunities for Collaboration Between Two Organizations by Noninteractive Literaturebased Knowledge Discovery[J]. 现代图书情报技术, 2006, 1(4): 45-48.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938