Abstract

MENENDEZ DOMINGUEZ, Víctor H.; GUERRERO SOSA, Jared D.T.; CASTELLANOS BOLANOS, María Enriqueta  and  CERVERA PEREZ, José William. Use of Data Mining to Characterize Researchers and Academic Groups. RIDE. Rev. Iberoam. Investig. Desarro. Educ [online]. 2022, vol.12, n.24, e016.  Epub May 23, 2022. ISSN 2007-7467.  https://doi.org/10.23913/ride.v12i24.1144.

In this work, the behaviors, and trends in the production of researchers associated with an important public university in south-eastern Mexico is presented. A proprietary application was used that collects and processes the production of the academics published in Scopus. For the analysis of the information, data mining techniques were used to classify the production of academic bodies, the ratio of active academics based on the number of recent publications and their certification degree, the groups defined according to the university campuses, as well as rules to identify trends in researchers’ groups. One of the discoveries was the correlation between the number of group members with their production, and the correlation between the indexed and non-indexed researchers’ production. Although the study was done for a particular university, the methodology can be reproduced for similar situations.

Keywords : academic groups; data processing; scientific production; universities.

        · abstract in Spanish | Portuguese     · text in Spanish     · Spanish ( pdf )