Prediction of Hot Topic in Social Media Based on User Participation Behavior in Social Hotspots

In social networks, the messages by the user plays a crucial role in determining the trending topics and participation behavior of the user. Considering, this communication between the different users in multi message interaction and complex behavior of users, this paper proposes a prediction model of hot topics based on the user participation behavior in social hotspots. By considering the sentiment of message and forwarding behavior of user, a model for prediction of user participation behavior was proposed. Considering the participation behavior of user with Back Propagation neural network that can consider complex user behavior and non-linear relationship, the hot topics in the network are predicted. The influence of the messages is constantly evaluated under a particular topic in the interaction between the users. This paper not only predicted the hot topics, but also gave accurate results with the use of BP neural network