Special Theme: "Understanding and Mining Social Media Using Graphs: Information Propagation in Blogs and Tweets"

Recent work in machine learning has provided interesting approaches to globally represent and process structures, e.g.: The emergence of new fields of research focusing on the social media such as Twitter and Facebook brought the graph-based methods even more into focus. In particular, graph-based algorithms are used to explore social network connections and propagation of information in those networks in addition to exploring the connections between the language entities. As a consequence, many new applications have been emerging such as rumor proliferation, e-reputation, multiple identity detection, language dynamics learning and future events prediction to name but a few.