Sleep Quality Evaluation of Active Microblog Users

In this paper, we propose a novel method to evaluate the sleep quality of Active Microblog Users(AMUs) based on Sina Microblog data, where Sina Microblog is the largest microblog platform with 500 million registered users in China. A microblog user is called AMU if s/he posts more than 100 microblogs during a year. Our study is meaningful because the amount of AMUs is huge in China and the results can reflect the lifestyle of these people. The primary works of this paper are as follows: First we successfully obtained 700 million microblogs from 0.55 million microblog users as our dataset. Then we detected the possible start and end sleep time of each AMU by a novel pattern and algorithm. Finally we designed an evaluation system to give the score of each AMU's sleep quality. In the experiment, we compared the sleep quality of AMUs in different cities of China and found the difference in topics between high and low score groups by LDA method.