Combining Support and Attack Interactions for Argumentation Based Discussion Analysis

Online discussion is one of the commonly used tools to engage users discuss relevant topics for society, where user contributions in form posts, comments and votes are essential their success. The scale, complexity dynamism this information leads a growing interest understanding what major accepted or rejected opinions different domains by social network users. In work, we explore how combine attack support interactions extract possible consensus based on some abstract argumentative semantics, characterize set properties postulates that should satisfy.