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Micro-blog has been an important social network platform in recent years. With the advances in information influence and propagation ability, the date of micro-blog has attracted the attention of scholars of all kinds. More and more people are interested in studying microblogging from various aspects, such as user motivation, information propagation, text analysis, user network structure. This paper is about the data analysis of tencent microblogging user. Then get the data information about user’s friends and audiences from the database. The simulation results show that fans distribution of user is power-law and averlength is smaller, which indicate that user are of local network properties.

The Data Analysis of Tencent Micro-blog User