Caracterizando influência e difusão de informação no Twitter

Abstract

The way information is provided by users has become easier to analyze so that their experience is more and more profitable, but it becomes one of the main problems within social networks, which today has several ways to perform interactions. This published information may respond a lot about the user as to their influence or the ability to disseminate information within the social network. Metrics used today are increasingly being improved to identify the maximum users, but when analyzing specific scenarios the metrics can not be fully efficient and faithfully represent the real world. This dissertation shares the view that it is possible to measure the influence and diffusion of information by merging topological and content-based characteristics, since this allows to evaluate different contexts and to use characteristics that can increase others. The results obtained through bases collected from Twitter trending topics allow us to understand that the user through his individual and collective behavior can influence people and spread information, even whether this user is not considered important or famous within the social network analyzed, In addition, the frequent presence of users in certain niches is observed.