Abstract. Rhythm analysis of written texts focuses on literary analysis and it mainly considers poetry. In this paper we investigate the relevance of rhythmic features for categorizing texts in prosaic form pertaining to different genres. Our contribution is threefold. First, we define a set of rhythmic features for written texts. Second, we extract these features from three corpora, of speeches, essays, and newspaper articles. Third, we perform feature selection by means of statistical analyses, and determine a subset of features which efficiently discriminates between the three genres. We find that using as little as eight rhythmic features, documents can be adequately assigned to a given genre with an accuracy of around 80 %, significantly higher than the 33 % baseline which results from random assignment.
Online social games are Internet-based games that use the social networks formed by players to extend in-game functionality. For example, gamers participating in the BBO Fans community combine online bridge play with social networking. Despite an increase in the popularity of online social gaming-currently, there exist over one million online bridge players-, and of decades of research on social networks, the activity characteristics and the community structure of online social gaming remain relatively unknown. In this work we investigate and contrast these aspects for two bridge communities, BBO Fans (online) and Locomotiva (face to face). We propose the use of playing relationships instead of traditional social relationships such as friends and friends-of-friends. Using long-term, large-scale data we have collected from both the online and face to face bridge communities, we analyze user behavior, social network structure, and playing style in bridge communities. We find many similar characteristics in the two studied communities, but we also find more variation in the activity levels and fewer stable partnerships for the face to face bridge community.
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