Analysis of scientific research structure in Singapore using bibliometrics and network analysis for understanding their characteristics of RandD: A case study of biomedicai field

Ken Hayashima, Haruki Sawamura, Ichiro Sakata, Yoichiro Matsumoto, Hajime Sasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

These days, we are seeing increasing demand for accurate measurement of the effectiveness of policies. However, it has been difficult to measure the effectiveness of policies accurately, because of the limited number of methods, which include interviews, analysis based on the number of patents, and analysis of theses. Therefore, there is increasing demand fora methodology for precise measurement. Through this research, we would like to be part of those researches trying to satisfy this demand by adopting biblio metric analysis. In this paper, we introduced network analysis in order to evaluate a country'spresence in the academic field. In particular, we focused on three centralities, betweenness centrality, eigenvector centrality, and closeness centrality, in the measurement. As a result, it is shown that Singaporean institutes have higher centrality, especially betweenness centrality, as well as a high ratio of international researchers.

Original languageEnglish
Title of host publicationIEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1066-1070
Number of pages5
ISBN (Electronic)9781479964109
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 - Selangor, Malaysia
Duration: 9 Dec 201412 Dec 2014

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2015-January
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
CountryMalaysia
CitySelangor
Period9/12/1412/12/14

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Keywords

  • Bibliometric approach
  • Singapore
  • clustering biomedical research
  • network analysis
  • policy evaluation

Cite this

Hayashima, K., Sawamura, H., Sakata, I., Matsumoto, Y., & Sasaki, H. (2014). Analysis of scientific research structure in Singapore using bibliometrics and network analysis for understanding their characteristics of RandD: A case study of biomedicai field. In IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1066-1070). [7058802] (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2015-January). IEEE Computer Society. https://doi.org/10.1109/IEEM.2014.7058802