Social network analysis of scientific collaborations across different subject fields

Hamparsum Bozdogan, Oguz Akbilgic

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)219-233
Number of pages15
JournalInformation Services and Use
Volume33
Issue number3-4
DOIs
StatePublished - Dec 12 2013

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Electric network analysis
network analysis
Pattern recognition
social network
pattern recognition
energy
trend
interaction

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Cite this

Social network analysis of scientific collaborations across different subject fields. / Bozdogan, Hamparsum; Akbilgic, Oguz.

In: Information Services and Use, Vol. 33, No. 3-4, 12.12.2013, p. 219-233.

Research output: Contribution to journalArticle

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