Analysing Trends in Computer Science Research

被引:25
作者
Effendy, Suhendry [1 ]
Yap, Roland H. C. [1 ]
机构
[1] Natl Univ Singapore, Sch Comp, Singapore, Singapore
来源
WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2017年
关键词
trend analysis; computer science; bibliographic databases;
D O I
10.1145/3041021.3053064
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Research in Computer Science (CS) evolves rapidly in a dynamic fashion. New research area may emerge and attract researchers, while older areas may have lesser interest from researchers. Studying how trends evolve in CS can be interesting from several dimensions. Furthermore, it can be used to craft research agendas. In this paper, we present trend analysis on research area in CS. We also look at citation trend analysis. Our analysis is performed using the Microsoft Academic Graph dataset. We propose the FoS score to measure the level of interest in any particular research area or topic. We apply the FoS score to investigate general publication trends, citation trends, evolution of research areas, and relation between research areas in CS.
引用
收藏
页码:1245 / 1250
页数:6
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