Analysis of Internal and External Academic Collaboration in an Institution Through Graph Theory

Abstract

This paper presents an analysis of scientific collaboration through graph theory, based on a previous study focused on the collaborative work of researchers within an institution. This proposal also exposes the representation of inter-institutional collaboration of research groups, combining graph theory and data mining. The state of the art relates the concepts of scientific production, digital repositories, interoperability between repositories, the law of Open Science in Mexico, the theory of graphs and their use in previous studies for the analysis of scientific collaboration, and the definition of research groups in Mexico. Furthermore, the methodology uses elements of knowledge extraction for data mining, involving recovery, processing and visualization. Results present the collaboration status at the Universidad Autónoma de Yucatán, internally and externally, by the research groups. Internally, 22 groups were found and each researcher collaborates with six other professors within the institution, on average. In addition, consolidated research groups are those with the highest level of production and collaboration at national and international level, compared to the groups with less consolidation.

Interinstitutional Research Team Formation Based on Bibliographic Network Embedding

“…Hernandez-Gress et al [18] analyzed bibliographic data to recommend collaborations between universities by using only research topics of each scholar. Additionally, Guerrero-Sosa et al [19] Mobile Information Systems validates whether research institutes are significant stakeholders of research and proposes team formation methods that can consider the interests of both institutes and scholars. Looking up from the interinstitutional research, there have been numerous studies for recommending research collaborators.…”