Towards detecting emotional communities in Twitter

The analysis of social networks is a very challenging research area while a fundamental aspect concerns the detection of user communities. In this paper we present a novel methodology for community detection based on users´ emotional behavior. The methodology analyzes user´s tweets in order to determine their emotional behavior in Ekman emotional scale. We define one metric so as to count the influence of produced communities. Our results are quite promising in terms of creating influential enough communities.