Weibo User Forwarding Behavior Prediction for Reading Promotion
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At a time when the entire Internet is developing at a high speed, especially the rapid development of new media in recent years, the way of information dissemination on the Internet has changed dramatically. Not only has the convergence of all kinds of information become higher, but the amount of all kinds of information has also shown an explosive growth. Hundreds of network users have received information in a very short time. It also allows everyone to participate in the production and dissemination of every piece of information. Nowadays, the biggest way of information dissemination is Weibo forwarding and WeChat forwarding. The forwarding behavior of Weibo users has become one of the fastest factors for information dissemination. The purpose of this paper is to study how to improve the accuracy of prediction of forwarding behavior. According to the characteristics of reading promotion, this paper analyzes the influence factors of the forwarding behavior of Weibo for reading promotion and constructs the corresponding user forwarding behavior prediction algorithm for global prediction.
Sina Weibo, Forwarding behavior prediction, Social relationship, Reading promotion