ANÁLISE E VISUALIZAÇÃO DAS REDES SOCIAIS, USANDO O SOFTWARE R, APLICADA À EDUCAÇÃO A DISTÂNCIA

Abstract

This research applies to the social network analysis metrics (SNA), information visualization (VI) and correlation analysis for development of diagnostics of the distance learning on social networks that occur in the virtual learning environment (AVA). The data were extracted directly from the database of the AVA, e-Proinfo. The use of R software version 3.3.1 was chosen for the implementation of the necessary scripts in this research. The R software proved to be a suitable and versatile choice for applications in networks, contemplating the options generally available in SNA specific tools and resources for handling, processing and implementation of new network solutions. The analysis of forum networks identified the intensity of individual and class participation. Non-parametric analysis applied found a high positive correlation between the grade of the student and his contributions to the forum, especially the centrality of output. The correlations of Spearman and Kendall were 0.7921 and 0.6261 respectively. The analysis of social networks, messaging and note tools and the establishment of contacts among the participants turned possible the identification of the level of their involvement in the course. This research contributes to knowledge management by highlighting social networks formed by communications data and course interactions. Access to social networks of a distance course enables the Manager to monitor the level of participation, exchanges of information and the construction of knowledge. This information is useful for the decision-making and can collaborate for educational development.