The training process for employees of the Federal Institute of Rio Grande do Sul - IFRS through Analysis of Social Networks – SNA

Abstract

The qualification possibilities of public employees in Brazil are regulated by Law 8.112/90. The qualification and training of employees is directly related to the Federal Network, with no different at the Federal Institute of Rio Grande do Sul – IFRS. Social Network Analysis - SNA has been widely applied in building training networks. The objective of this work was to characterize the IFRS training indicators through the Analysis of Social Networks. In order to capture the data of qualifying employees and their respective courses, the institution's service bulletin was analyzed. With this, it was possible to build the graph network through the degree and pageRank algorithms. Altogether, sample data from 310 employees were analyzed, distributed in three groups: Total employees (310), administrative technicians (147) and teachers (163), of which were selected: employees capacity unit, qualification course and the total number of employees enrolled in the respective qualification. The degree analysis showed that the Rio Grande unit has the highest number of qualifying employees. The most sought after course is Education. In the teaching group, Porto Alegre has the highest number of all units, with the Education course highlighted. And finally, TAEs - Rectory, obtained the highest indicator, with Education as the greatest demand. It can be concluded that SNA allowed the visualization of employees in training under the IFRS, together with the search for postgraduate courses and the distribution per unit of employees in training.