Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References

Mitesser, Oliver, Heinz, Michael, Havemann, Frank and Gläser, Jochen Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References., 2008 . In Fourth International Conference on Webometrics, Informetrics and Scientometrics & Ninth COLLNET Meeting, Berlin, 2008. (In Press) [Conference paper]

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English abstract

Inspired by the hypothesis that the diversity of research might decline as a result of new science policy measures we explore the potential of bibliometric measures for analysing the diversity of research at meso- and macro-levels of (national sub-) fields, countries, and organisations. Our aim is to render changes in the diversity of research landscapes measurable and therefore comparable in time series as well as between different countries. We discuss different methodological approaches and some results based on a method that extracts latent themes from bipartite networks of research papers and their cited references by singular value decomposition of the citation matrix.

Item type: Conference paper
Keywords: research diversity, bibliometric method, LSA, co-citation, bibliographic coupling, bipartite networks
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Frank Havemann
Date deposited: 10 Aug 2008
Last modified: 02 Oct 2014 12:12
URI: http://hdl.handle.net/10760/12207

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