Recommending intra-institutional scientific collaboration through coauthorship network visualization

Authors:
Gustavo A. Parada;Hector G. Ceballos;Francisco J. Cantu;Lucia Rodriguez-Aceves
Affiliations:
Tecnologico de Monterrey, Monterrey, Mexico;Tecnologico de Monterrey, Monterrey, Mexico;Tecnologico de Monterrey, Monterrey, Mexico;Tecnologico de Monterrey, Monterrey, Mexico
Venue:
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications
Year:
2013

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Abstract

For improving research productivity, quality and dissemination, we propose the development of a visual recommendation tool summing up scientific collaboration best-practices found in literature. Social Network Analysis are applied to a coauthorship network for generating a Potential Collaboration Index (PCI) based on productivity, connectivity, similarity and expertise. This work is evaluated by recommending intra-institutional collaboration in a comprehensive university. The accuracy of PCI is documented, along with suggestions and comments from 27 interviewed researchers.