Characterizing Tweeting Behaviors of Sina Weibo Users via Public Data Streaming

摘要

This paper develops a simple yet effective inference algorithm to estimate the tweeting activities of Weibo users over time based on public status streams and complete user status streams of two independent groups. To the best of our knowledge, this paper presents the first effort to systematically infer Weibo tweeting volumes over time. We are currently in the process of analyzing the unstructured contents of tweeting messages posted by Weibo users for gaining an in-depth understanding of Weibo users' behaviors, interests and intents.