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Social network analysis of scientific collaborations across different subject fields

Issue title: Enabling and Mapping Scientific Collaboration

Guest editors: Bonnie CarrollGuest Editor and Edrick G. CoppockGuest Editor

Article type: Research Article

Authors: Bozdogan, Hamparsum; * | Akbilgic, Oguz

Affiliations: Department of Statistics, Operations, and Management Science, The University of Tennessee, Knoxville, TN 37996, USA. E-mails: [email protected], [email protected]

Correspondence: [*] Corresponding author. Tel.: +1 865 974 1635; Fax: +1 865 974 2490; E-mail: [email protected]

Keywords: Social network analysis, weighted networks, scientific collaboration

DOI: 10.3233/ISU-130715

Journal: Information Services & Use, vol. 33, no. 3-4, pp. 219-233, 2013

Published: 2 November 2013
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Abstract

This paper analyzes the level of scientific collaboration and interaction in different subject fields using a novel social network analysis (SNA) on a data set provided by the Department of Energy (DOE) Office of Scientific and Technologic Information (OSTI) in Oak Ridge, Tennessee. This paper not only determines the level of scientific collaboration between different disciplines, but it also analyzes the trends among the subject fields considered. The results in this paper show clear pattern recognition discovery on the social network model among key subject fields using weighted networks.

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