We show that coherence information represented in an entity graph is valuable for NLP tasks as well as for the analysis of literary work. We present an extension of the entity graph for German by adding a syntactic role category for possession modifiers and reducing the weights for entities found in embedded structures. Furthermore, we extract a set of graph metrics and show that they are valuable features in text analysis of literary works and author classification.