Análise Da Relevância De Mensagens No Twitter Através De Um Sistema Multi-Agente

Abstract

The appearance of new technologies and innovations in social media has changed the way how people behave themself. Remarkably Social Networks are more and more incorporated in people’s lives. There has never been so much development, penetration, diversification, dispersion, real-time communication, compression of space and time, concomitant with a plurality of perspectives, definitions, analysis and prospective scenarios on the possible unfolding of the facts of the present. Convergence is everywhere and has never been so easy to achieve such a large audience. In this scenario we explore the existing research and we propose an approach to analyze the relevance of Twitter messages, monitoring its evolution in the network and establishing the influence in a demographic space. We develop an application able to do this monitoring, with the intent to verify and validate the proposed model.