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Weighting Public Mood via Microblogging Analysis

The analysis of social networks is a very challenging research area while a fundamental aspect concerns the alternations of users opinions. Accordingly, some specific users can affect their followers as they tend to be more "influential" than others. In this paper, we present a study on identifying such phenomena on Twitter and in following on determining whether specific users' posts can affect them. Furthermore, emotionally changed posts are analyzed so as to predict if they can alter public opinion towards certain events, persons and so on, when used by certain influential users. Finally, we aim in proposing a method for creating a group of selected users by combining their posts on a subject; this group will have the ability to drastically change the opinions of the rest of the users towards a specific emotional subject.