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    Felizberta Lo Padilla Tong School of Social SciencesIp Ying To Lee Yu Yee School of Humanities and LanguagesRita Tong Liu School of Business and Hospitality ManagementS.K. Yee School of Health SciencesYam Pak Charitable Foundation School of Computing and Information Sciences
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  4. Research collaboration and topic trends in computer science: An analysis based on UCP authors
 
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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.
Date Issued
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.sfu.edu.hk/handle/sfu/1702
DOI
10.1145/2740908.2742015
SFU Affiliated Publication
No
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