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The Internet era of big data, social network data interaction is real-time, sociality, complexity.Multiple architecture data information are hot topics in data.Traditional social network hot topic mining methods retrieval speed slow, hot entry subject terms and shallow layer, fault data cannot be mining and so on a series of problems, how to social network hot topic in data mining, in order to solve this problem put forward comparing large data entry feature extraction method, the social network of big data features manifest data entry, and the pie chart can be compared to the way of network intercrossing frequency characteristic entry data show, the multidimensional data acquisition method, solve the hot issues of social network in the mining of the data block phenomenon, to meet the requirements of the hot topics in social network depth excavation.Through the simulation experiments on the proposed method efficiency, accuracy and speed test, the experimental results show that the proposed method is the hot topic in social network mining fast, efficient and practical.