  Social networks are rich source of data to analyze user habits in all aspects
of life. User's behavior is decisive component of a health system in various
countries. Promoting good behavior can improve the public health significantly.
In this work, we develop a new model for social network analysis by using text
analysis approach. We define each user reaction to global pandemic with
analyzing his online behavior. Clustering a group of online users with similar
habits, help to find how virus spread in different societies. Promoting the
healthy life style in the high risk online users of social media have
significant effect on public health and reducing the effect of global pandemic.
In this work, we introduce a new approach to clustering habits based on user
activities on social media in the time of pandemic and recommend a machine
learning model to promote health in the online platforms.
