Analysis of the Production of Academic Groups Based on Graph Theory
Abstract
In many Mexican universities, groups of professors form academic groups with the purpose of generating new knowledge based on the collaboration of its members. These academic groups are classified according to the criteria established by the Program for Professional Development of Teachers (PRODEP), which is based on the relevance of production and the degree of collaboration; however, such evaluation may be subjective due to the absence of tools that facilitate that process. The present work is focused on analyzing the production and collaboration of three types of academic groups from the information stored in the Scopus database using data visualization, specifically, graph theory. The used methodology is based on educational data mining. The results allowed to observe a correspondence between the structure of the group and the fulfillment of the production requested by the PRODEP, locating the strongest and the weakest elements of each academic group based on their participation and level of contribution. Our research value is the production and scientific collaboration analysis of an academic group, using a data visualization tool, in this case, graph theory, which allows to automate the evaluation process by reducing its subjective interpretation.
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