Mapping the diffusion of scholarly knowledge among major U.S. research institutions

Katy Börner; Shashikant Penumarthy; Mark Meiss; Weimao Ke

doi:10.1007/s11192-006-0120-2

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Scientometrics

Volume/Issue:: Volume 68: Issue 3

Mapping the diffusion of scholarly knowledge among major U.S. research institutions

Authors:

Katy Börner

Katy Börner School of Library and Information Science, Indiana University 10th Street & Jordan Avenue, Bloomington, IN 47405, USA 10th Street & Jordan Avenue, Bloomington, IN 47405, USA

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Shashikant Penumarthy

Shashikant Penumarthy School of Library and Information Science, Indiana University Bloomington, IN (USA) Bloomington, IN (USA)

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Mark Meiss

Mark Meiss School of Informatics, Indiana University Bloomington, IN (USA) Bloomington, IN (USA)

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, and

Weimao Ke

Weimao Ke School of Library and Information Science, Indiana University Bloomington, IN (USA) Bloomington, IN (USA)

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Pages:: 415–426

Online Publication Date:: 26 Jul 2006

Publication Date:: 26 Dec 2006

Article Category:: Research Article

DOI:: https://doi.org/10.1007/s11192-006-0120-2

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Summary

This paper reports the results of a large scale data analysis that aims to identify the production, diffusion, and consumption of scholarly knowledge among top research institutions in the United States. A 20-year publication data set was analyzed to identify the 500 most cited research institutions and spatio-temporal changes in their inter-citation patterns. A novel approach to analyzing the dual role of institutions as producers and consumers of scholarly knowledge and to study the diffusion of knowledge among them is introduced. A geographic visualization metaphor is used to visually depict the production and consumption of knowledge. The highest producers and their consumers as well as the highest consumers and their producers are identified and mapped. Surprisingly, the introduction of the Internet does not seem to affect the distance over which scholarly knowledge diffuses as manifested by citation links. The citation linkages between institutions fall off with the distance between them, and there is a strong linear relationship between the log of the citation counts and the log of the distance. The paper concludes with a discussion of these results and future work.

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Scientometrics

Print ISSN:: 0138-9130

Online ISSN:: 1588-2861

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Scientometrics
Language	English
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ISSN	0138-9130 (Print)
ISSN	1588-2861 (Online)