Bibliometric Analysis of Distributed Generation
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SSRN-id1373889.pdf
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Author(s)
Woon, Wei Lee
Zeineldin, Hatem
Madnick, Stuart E.
Date Issued
April 1, 2009
Publisher
Cambridge
Series/Report no.
MIT Sloan School of Management Working Paper;4730-09
CISL Working Paper;2009-03
Abstract
This paper describes the application of data mining
techniques for eludicating patterns and trends in technological
innovation. Specifically, we focus on the use of bibliometric
methods, viz techniques which focus on trends in the publication
of text documents rather than the content of these documents.
Of particular interest is the relationship between publication
patterns, as characterized by term occurrence frequencies, and
the underlying technological trends and developments which
drive these trends. To focus the discussions and to provide a
concrete example of their applicability, a detailed case study
focussing on research in the area of Distributed Generation (DG)
is also presented; however, the techniques and general approach
devised here will be applicable to a broad range of industries,
situations, and locations. Our results are promising and indicate
that interesting information and conclusions can be derived from
this line of analysis. The results obtained using data extraction
techniques highlight and present the evolution of DG-related
technology focus areas, and their relative importance within this
field.
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