Method and system for predicting social network information popularity based on user characteristics

Abstract

The invention provides a method for predicting social network information popularity on the basis of user characteristics. The method includes the steps of obtaining user data and information data in a social network, extracting part of user attribute characteristics and user behavior characteristics from the user data, classifying the user data according to the user attribute characteristics and the user behavior characteristics, obtaining user broadcasting characteristics corresponding to the information data according to the information data and the classification of a user, obtaining a social network information popularity prediction model according to the user broadcasting characteristics, and predicting the information popularity through the prediction model. The invention provides a system for predicting the social network information popularity on the basis of user characteristics. The system comprises an obtaining module, a characteristic obtaining module, a classification module, a processing module, a prediction model module and a prediction model. Through the combination with the features of user behavior characteristics, information propagation of the social network is more accurately predicted, and the problems that hot spot finding lags and the real-time performance of information pushing and online public opinion monitoring can be hardly ensured are solved.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to a method and system for predicting the popularity of social network information based on user characteristics. Background technique [0002] At present, the Internet has become an important way to obtain information, especially with the rapid rise of various social networking sites, more convenient information acquisition and faster information dissemination follow. Social networks have formed a huge online social group and built close online interpersonal relationships. Information dissemination on social networks is different from traditional information dissemination such as letters, oral, newspapers, etc. Information dissemination in social networks has the following outstanding features. First, it has strong real-time performance. It is easy for readers to spread the major events they see in the fastest time; second, with a strong group nature, information release ...

AI Technical Summary

Problems solved by technology

[0004] In view of the defects of the prior art, the method for predicting the popularity of social network information based on user characteristics provided by the present invention, combined with the characteristics of user behavior characteristics, can more accurately predict the information dissemination of social networks, and solve hot spot discovery lag, information push and network problems. It is difficult to guarantee the real-time performance of public opinion monitoring

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