Abstract
In recent years, with the advances in information communication, Sina Weibo has attracted the attention of scholars in China. The big data analytics platform at Sina Weibo has experienced tremendous growth over the past few years in terms of size, complexity, number of users and variety of use cases. Without a clear description of how the underlying data were collected, stored, cleaned, and analyzed, however, Weibo network analysis and modeling become difficult. To analyze the Weibo data, the structure framework of Weibo need firstly be known, and the composition and characteristics of Weibo data must be understood. Then by comparing different application programming interface (API), the more efficient and convenient method of data collection are found. Moreover, according to the characteristics of Weibo data, quarrying the cleaning methods and strategies provide convenient for the further processing of data. Finally, the integration of big data mining and the properties of Weibo find the most effective method based on large Weibo data, and discuss the future research
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