Prediction method of hot topics participated by users in social networks

Abstract

The invention belongs to the field of computer network information technology analysis, and discloses a prediction method of hot topics participated by users in social networks. Based on online users and user friend relation networks, by taking features of three-side relations among personal interests of fans, concerned users and communities into consideration, through time discretization and time slice methods, the influence of a timeliness factor of topic information is added, at the same time, for the purpose of solving the problems of data distribution nonuniformity and network structure sparsity at each phase of life cycles of the hot topics, a hot topic participation prediction model is constructed and the model is fitted, and power factors of the fans in participating in discussion of the topics can be analyzed simply by inputting the data, such that whether the fans of users already participating in the topics participate in the discussion of the topics can be dynamically predicted, and the power factors of participation in the discussion of the topics and the heat trend of the topics can be mined.

Description

technical field [0001] The invention belongs to the field of computer information technology analysis, and is especially aimed at predicting and analyzing users' participation in hot topics. Background technique [0002] With the rapid popularization of social network applications, users spend more and more time on social networks. At the same time, the relevant information left by users also makes social networks a huge information platform. Using this information platform, you can grasp the user's behavior and the law of information dissemination. It can be beneficial to the reasonable allocation and utilization of computing network information flow, network capacity and network resources. [0003] At this stage, there are more and more online public opinions triggered by hot topics and hot events in social networks, and the analysis of hot topics has gradually become a research hotspot. Its main research has different degrees of exploration in the directions of user in...

AI Technical Summary

Problems solved by technology

[0005] Problems solved by the present invention: Aiming at the complex dynamic causes of user behavior, hot topics have problems such as uneven data distribution at each stage of the life cycle and sparse network structure.

Images