Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/1702
Title: Research collaboration and topic trends in computer science: An analysis based on UCP authors
Author(s): Chiu, Dah Ming 
Author(s): Wu, Y.
Venkatramanan, S.
Issue Date: 2015
Publisher: Association for Computing Machinery
Related Publication(s): Proceedings of the 24th International Conference on World Wide Web
Start page: 1045
End page: 1050
Abstract: 
Academic publication metadata can be used to analyze the collaboration, productivity and hot topic trends of a research community. Recently, it is shown that authors with uninterrupted and continuous presence (UCP) over a time window, though small in number (about 1%), amass the majority of significant and high-influence academic output. We adopt the UCP metric to retrieve the most active authors in the Computer Science (CS) community over different time windows in the past $50$ years, and use them to analyze collaboration, productivity and topic trends. We show that the UCP authors are representative of the overall population; the community is increasingly moving in the direction of Team Research (as opposed to Soloist or Mentor-mentee research), with increased level and degree of collaboration; and the research topics become increasingly inter-related. By focusing on the UCP authors, we can more easily visualize these trends.
URI: https://repository.cihe.edu.hk/jspui/handle/cihe/1702
DOI: 10.1145/2740908.2742015
CIHE Affiliated Publication: No
Appears in Collections:SS Publication

Files in This Item:
File Description SizeFormat
View Online126 BHTMLView/Open
SFX Query Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.