부산대학교 도서관

Predicting which users are likely to leave a given online community has been studied for several types of platforms. The problem of predicting whether a given user is going to leave a given community is referred to as the user churn prediction problem. Existing studies have typically used features obtained from the user’s activity records in the community. In contrast, we use both social-network and inter-community features, as well as the basic features used in existing studies. In this paper, we focus on Reddit as an example of a popular online community platform. We extract several features from records of comments in Reddit communities, then use them to construct models for user churn prediction and to evaluate their prediction accuracy. Our results show that among the several features used in this paper, the number of comments posted by users is most effective at predicting user churn, and the model using only the number of posted comments achieved an F-1 score of 0.78. Although social-network and inter-community features can be used for user churn prediction, combining them with basic activity features does not improve prediction accuracy.