Uma abodagem para identificação de padrões comportamentais a partir de aplicativos para redes sociais

Abstract

Online Social Networks provide valuable information that allows for the atudy of user’s behaviors. Some of this information is produced by Social Apps, reporting companion and relevant information with properties associated to users. Among Online Social Networks, Facebook is the one of the most used and stands out by the number of users. This expressive number of users produce a lot of contents. Thus, efficient ways for data collection and analysis. It classifies and stablishes Behavioral Patterns of Users from the content produced by the Social Apps used by users. Analyzes were modeled by a parallel and distributed execution Workflow. This enables its execution in a reduced time and with scalability. Thus, the users were classified according to their practice of physical activities. This classification occurred with the collect and analysis of shared physical activity made in user’s profiles, through the use of Social Apps to monitor physical activities. With this, the definition of the Behavioral Patterns of the User was made, regarding their healthy behavior of physical activities execution.