  The information release behavior of WeChat users is influenced by many
factors, and studying the rules of the behavior of users in WeChat can provide
theoretical help for the dynamic research of mobile social network users. By
crawling WeChat moments information of nine users within 5 years, we used the
human behavioral dynamics system to analyze users' behavior. The results show
that the information distribution behavior of WeChat users is consistent with
the power-law distribution for a certain period of time. Meanwhile, there is an
anti-memory characteristic in information release behavior of WeChat users,
which is significantly different from other user behavior patterns in online
social networks. The results of the study provide theoretical support for the
further study of information release behavior of Wechat users.
