Someato: characterizing and exploiting behavior and interests of users in social media

Characterizing and understanding behavior and interests of social media members is crucial for enhancing several practical applications in this environment, such as target marketing or recommendation. Aiming to characterize and exploit such behavior and interests, this work proposes Someato, a novel online analytics tool. Besides a characterization methodology, Someato comprises a search and a recommender system. Its main goal is to discover information and people that each member potentially wants to find within a social media. A preliminary usage on a real social community evinces Someato’s analytics capability and intuitive scientific visualization over log data from social media.