Artículo de Conferencia / Conference Article
Recommending intra-institutional scientific collaboration through coauthorship network visualization
Fecha
2013-10-28Registro en:
978-145032414-4
10.1145/2508497.2508499
CompSci 2013 - Proceedings of the 2013 Workshop on Computational Scientometrics: Theory and Applications, Co-located with CIKM 2013
7
12
Autor
Prada, Gustavo A
Cantu-Ortiz, Francisco J
Rodríguez-Acevez, Lucía Alejandra
Ceballos Cansino, Héctor Gibrán
Institución
Resumen
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.