Behavior Analysis And Importance Measurement Of Weibo User In Emergencies

Weibo had become the main platform for publics to express their personal views and opinions in recent years, the publishing and spreading channel of unexpected incidents news have shifted to weibo platform, weibo platform had become one of the main network public opinion carriers. Once e mergencies happened or was reported, users comments and reposts event information quickly through weibo, weibo becomes the event amplifier, and the evolution process and way of emergency weibo public opinions are different from the traditional network public opinion characteristics. To study the behaviors of groups of weibo users in emergency information dissemination, this was good for control weibo users behaviors in emergencies timely, as well as it played an important role in guiding public opinions and healthy development of internet culture and social environment. Finding important weibo users in event information dissemination, it had a great significance on efficiency and accuracy of determining the authenticity of the information on the event, public opinion monitoring, analysis and management of work.Taking the tap water benzene exceeding event in Lanzhou as an example, this paper discussed the spread and evolution process of emergency news on weibo. The research data was real data collected from Sina weibo. Firstly, a statistical review of the amount of related micro-blogs and forward situation to was used to analyze the life cycle of emergency news, the character of group user behavior(periodic and paroxysmal), and group user follow behavior which could help us understand the process and path of information dissemination, explore the inherent law of pub lic opinion evolution of emergency news. Secondly, we made a comparison of user behavior at emergency case and daily situations from three main spects(time interval of release information, user activity and average number of repost and comment) to explore user behavior rules in emergency cases. Then, a measurement of user influence was proposed on the base of three main influence factors: contains user followers, user activity and information coverage of user, which were extracted from the correlation analyze of different user behaviors. At last, this paper put forward a measurement of weibo users ’improtance in emergencies based on user followers, user activity and information coverage of user, in addition this paper makes a deeper study on key users’ role in public opinion evolution.