Determinación de perfiles de uso de redes sociales en los habitantes de la provincia de Loja

Abstract

The advance of technology has been incorporated into the daily life of human beings, generating changes and needs, which describe the participation of users in social networks. The purpose of the present titling work is to determine the digital consumption pattern of the inhabitants of the province of Loja, applying data mining techniques such as clustering, K means, Kohonen self-organized maps, decision trees within tool R And statistical analysis with crossing of variables to the content of the technological profiles using the KDD methodology. As a result, the techniques applied allow the generation of participative and personalized content; By the most optimal determination of use profiles with social, reflective, familiar and humor content of the users of the province of Loja.