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Triangulation as a research strategy for identifying invisible colleges among biomedical scientists
Institution:1. School of Computer Science and Engineering, Nanjing University of Science and Technology, China;2. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, China;3. School of Information Science and Engineering, East China University of Science and Technology, China;1. Swedish University of Agricultural Sciences, Southern Swedish Forest Research Centre, P.O. Box 49, SE-230 53 Alnarp, Sweden;2. European Commission, Joint Research Centre (JRC), Directorate D, Bioeconomy Unit (D1), Via E. Fermi, 2749, I-21027 Ispra, Italy
Abstract:A triangulation strategy, employing a number of network analysis techniques, was implemented in the study of a single social network of biomedical scientists specializing in lipid metabolism research. Here we present the results of co-word analysis of grants awarded to these scientist by the National Institutes of Health, network analysis (NEGOPY) and factor analysis of the scientists' responses on a sociometric roster instrument, preliminary results of a co-citation analysis of their publications, and qualitative analysis of their responses to interviews and questionnaires. The findings are discussed in light of the relative information that the various techniques contribute to the understanding of the social relationships among the members of this scientific speciality.
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