A Vector Space Model as a methodological approach to the Triple Helix dimensionality: A comparative study of Biology and Biomedicine Centres of two European National Research Councils from a Webometric view

José Luis Ortega Priego ()
Additional contact information
José Luis Ortega Priego: Internet Lab, CINDOC (CSIC)

Scientometrics, 2003, vol. 58, issue 2, No 13, 429-443

Abstract: Abstract The aim of this paper is to propose a Vector Space Model as a new methodological approach which allows us to present the relationships between the elements of the Triple Helix Model (University, Industry, Government) in a spacial model by using the webpages of the National Research Councils of Germany and Spain as examples. Outlinks of the Biomedicine and Biology centres of these national councils were analysed with the intention of representing graphically these relationships through the Vector Space Model that allows for Multidimensional Scaling in three dimensions. Results show a map with the differences and similarities between the Spanish and German cases. It may be concluded that these results could become a qualitative indicator of a scientific and technical reality.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1023/A:1026201013738 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:58:y:2003:i:2:d:10.1023_a:1026201013738

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1023/A:1026201013738

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().