|
|
Identifying Frontier Topics from Funding and Paper——Case Study of Carbon Nanotube |
Bowen Liu,Rujiang Bai( ),Yanting Zhou,Xiaoyue Wang |
Institute of Scientific and Technical Information, Shandong University of Technology, Zibo 255049, China |
|
|
Abstract [Objective] This paper analyzes the fine-grained characteristics of funding and paper data in English, aiming to identify the frontiers of scientific research. [Methods] We retrieved NSF funded projects and WOS papers in the field of carbon nanotubes, and identified their LDA themes. Then, we compared their topic novelty, intensity and similarity. [Results] We found two trending topics, five emerging topics, four dying topics and two topics with potentialities. [Limitations] We did not evaluate our method with data in Chinese. [Conclusions] Compared with methods relying on single data source or dimension, our method can identify the frontiers of scientific research more effectively.
|
Received: 20 November 2018
Published: 29 September 2019
|
|
Corresponding Authors:
Rujiang Bai
E-mail: brj@sdut.edu.cn
|
[1] |
Price D J D S. Networks of Scientific Papers[J]. Science, 1965,149(3683):510-515.
|
[2] |
Small H . Co-Citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents[J]. Journal of the American Society for Information Science, 1973,24(4):265-269.
|
[3] |
Persson O . The Intellectual Base and Research Fronts of JASIS 1986-1990[J]. Journal of the Association for Information Science & Technology, 1994,45(1):31-38.
|
[4] |
Garfield E . Research Fronts[J]. Current Contents, 1994,41(10):3-7.
|
[5] |
Morris S A, Yen G, Wu Z , et al. Time Line Visualization of Research Fronts[J]. Journal of the American Society for Information Science and Technology, 2003,54(5):413-422.
|
[6] |
Chen C . CiteSpaceII: 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.
|
[7] |
许晓阳, 郑彦宁, 刘志辉 . 论文和专利相结合的研究前沿识别方法研究[J]. 图书情报工作, 2016,60(24):97-106.
|
[7] |
( Xu Xiaoyang, Zheng Yanning, Liu Zhihui . Study on the Method of Identifying Research Fronts Based on Scientific Papers and Patents[J]. Library and Information Service, 2016,60(24):97-106.)
|
[8] |
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.
|
[8] |
( Wang Xianwen, Mao Wenli, Wang Zhi . Detecting and Tracing Emerging Research Trends Real-Timely Using Web Data[J]. Science of Science and Management of S.&T., 2014,35(4):3-9.)
|
[9] |
白如江, 冷伏海, 廖君华 . 一种基于多数据源主题对比的科学研究前沿识别方法[J]. 情报理论与实践, 2017,40(8):43-48, 36.
|
[9] |
( Bai Rujiang, Leng Fuhai, Liao Junhua . A Method of Detecting Research Front Based on Subjects Comparison of Multiple Data Sources[J]. Information Studies: Theory & Application, 2017,40(8):43-48, 36.)
|
[10] |
Blei D M, Ng A Y, Jordan M I . Latent Dirichlet Allocation[J]. Journal of Machine Learning Research, 2003,3:993-1022.
|
[11] |
AlSumait L, Barbará D, Gentle J, et al. Topic Significance Ranking of LDA Generative Models [C]//Proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Berlin: Springer, 2009: 67-82.
|
[12] |
Keramati A, Ghaneei H, Mirmohammadi S M . Developing a Prediction Model for Customer Churn from Electronic Banking Services Using Data Mining[J]. Financial Innovation, 2016,2(1):14-16.
|
[13] |
He X, Wu Y, Yu D , et al. Exploring the Ordered Weighted Averaging Operator Knowledge Domain: A Bibliometric Analysis[J]. International Journal of Intelligent Systems, 2017,32(11):1151-1166.
|
[14] |
叶春蕾, 冷伏海 . 基于共词分析的学科主题演化方法改进研究[J]. 情报理论与实践, 2012,35(3):79-82.
|
[14] |
( Ye Chunlei, Leng Fuhai . Research on Improvement of Disciplinary Subject Evolution Method Based on Co-word Analysis[J]. Information Studies: Theory & Application, 2012,35(3):79-82. )
|
[15] |
张英杰, 冷伏海 . 基于案例的科学前沿探测方法比较研究[J]. 图书情报工作, 2012,56(20):42-46.
|
[15] |
( Zhang Yingjie, Leng Fuhai . Case-based Comparative Study on Scientific Frontier Detection Methods[J]. Library and Information Service, 2012,56(20):42-46.)
|
[16] |
陈军营, 白如江, 王效岳 , 等. 中外图情领域大数据近十年(2007-2016)研究现状与发展趋势分析[J]. 情报科学, 2018,36(7):104-110.
|
[16] |
( Chen Junying, Bai Rujiang, Wang Xiaoyue , et al. Research Status and Development Trend Analysis of Big Data in the Field of Chinese and Foreign Library and Information Science in Recent 10 Years (2007-2016)[J]. Information Science, 2018,36(7):104-110.)
|
[17] |
Thorndike R L . Who Belongs in the Family?[J]. Psychometrika, 1953,18(4):267-276.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|