With the rapid development of the Internet,how to effectively monitor and guide the public opinion on the Internet is of great significance to the social stability.The prediction of network events' hotness is an important part of public opinion supervision.In view of the fact that the traditional method ignores the temporal information and the relevance contained in the event time series in the process of prediction,a prediction model based on EKSC algorithm is proposed.The model uses the EKSC algorithm to cluster the time series of known network public opinion events of each class and constru...
