Social network user behavior prediction method based on quantified social influence

The invention discloses a social network user behavior prediction method based on quantified social influence. The method comprises the following steps: data crawling, data preprocessing, network graph construction, user interesting extraction, inter-user influence quantification, modeling prediction, and model training evaluation. The prediction method is mainly used for predicting the user behavior such as tweeting behavior on the Twitter of the social network in the large-scale social network. Compared with the prior art, the method disclosed by the invention further considers the quantification of inter-user social influence in the social network, and the quantified influence is brought into a prediction model, so that the prediction model can sufficiently consider the influence on the user behavior by other users around a given user; and the user behavior is predicted from the angle of the user interests, the interests of the user are computed through the quantified social influence, and the user behavio