Analyzing of Twitter Users Posts and Presenting the Pattern for Application of Data in Policy Process

In this research, the activity of Twitter s users has been analyzed. The sample of the research was the users who posted on the topic of technology. The purpose of this research was to present the process of using the data of Twitter s users in the policy making process. This process has suggested how to use data analysis in each step of the policy making process. Algorithms presented in this process were tested with 6-month data of all Persian language Twitter s users who have published tweets on the topic of science and technology policy. The proposed classification model was able to distinguish and separate evidence tweets from non-evidence tweets with acceptable accuracy. Also, the text of the tweets of the most influential Twitter users who posted tweets and the number of connections their tweets created were extracted and analyzed. The selection criterion of these users was the number of connections they had made (more than 300 connections), which shows that these users have paid the most attention to information filtering, applications and social networks. The innovation of this research was the proposal to use the data of social network users in the policy making process.