MONITORAMENTO PARA PREVER EPIDEMIAS UTILIZANDO REDES SOCIAIS

Actually social networks have been attracting millions of users, because they are favorable environments for studying many computing themes (distributed systems, traffic patterns over the internet, data mining, multimedia systems, among others), directed to different areas (epidemiology, politics, sports, marketing). The concept created over the social networks became a key theme for researches related to processing and organization of huge amount of data. On this context, this research proposes an application that is able to collect data shared over the social network named Twitter, process this data and generate information in order to obtain results that permit identify probable concentrations of a certain disease on a determined place and period, assisting the epidemiology.

Abstract licence: CC BY-NC-ND

10 more references, whose wording the paper’s licence keeps private.

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