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Biofuel research and data mining

Biofuel research and data mining Purpose – The purpose of this paper is to explore and map the intellectual structure of biofuel research. Design/methodology/approach – The study attempts to present the structure of biofuel research through document co‐citation patterns of core references. Document co‐citation analysis was performed using the Web of Science of the Thomson‐ISI database. A sample of 26 cited references was identified and the co‐citation frequencies were analyzed and represented them systematically within groups of similar researched topics. Findings – The study shows the co‐citation analysis method suitable for depicting structure of biofuel research in document clusters by performing multivariate analysis: cluster analysis, factor analysis, multidimensional scaling and network analysis. Research limitations/implications – The study is limited to research articles and co‐citation data for the first author only. For the co‐citation analysis, the cited references rather than the cited authors were used as the units for analysis. Practical implications – Co‐citational analysis using multivariate tools provides a useful technique to explore and document the development of the field supplementing the insights normally available from the routine co‐citational analysis. Originality/value – Specialties in biofuel research are identified and this may provide a valuable building block for future research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Performance Measurement and Metrics Emerald Publishing

Biofuel research and data mining

Performance Measurement and Metrics , Volume 14 (1): 22 – Apr 12, 2013

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References (24)

Publisher
Emerald Publishing
Copyright
Copyright © 2013 Emerald Group Publishing Limited. All rights reserved.
ISSN
1467-8047
DOI
10.1108/14678041311316158
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to explore and map the intellectual structure of biofuel research. Design/methodology/approach – The study attempts to present the structure of biofuel research through document co‐citation patterns of core references. Document co‐citation analysis was performed using the Web of Science of the Thomson‐ISI database. A sample of 26 cited references was identified and the co‐citation frequencies were analyzed and represented them systematically within groups of similar researched topics. Findings – The study shows the co‐citation analysis method suitable for depicting structure of biofuel research in document clusters by performing multivariate analysis: cluster analysis, factor analysis, multidimensional scaling and network analysis. Research limitations/implications – The study is limited to research articles and co‐citation data for the first author only. For the co‐citation analysis, the cited references rather than the cited authors were used as the units for analysis. Practical implications – Co‐citational analysis using multivariate tools provides a useful technique to explore and document the development of the field supplementing the insights normally available from the routine co‐citational analysis. Originality/value – Specialties in biofuel research are identified and this may provide a valuable building block for future research.

Journal

Performance Measurement and MetricsEmerald Publishing

Published: Apr 12, 2013

Keywords: Data mining; Research work; Biofuel; Co‐citation analysis; Cited document; Cluster analysis; Factor analysis; Multi‐dimensional scaling; Multi‐variate analysis; Network analysis

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