Social Network Influence Propagation Model Based on Emotion Analysis

Abstract

Online social networking provides an open platform for public to express their views on an event or product. Obviously the user's emotion would affect the propagation of the event influence. To reflect the propagation of influence in social networks more accurately, this paper firstly improved the Independent Cascade Model, adding the emotion factor to the formula of the propagation probability. Secondly we used the improved model to predict the spread of influence. Thirdly, we carried the simulation experiment to analyse its propagation effect on Sina Micro-blog dataset. The experimental results show that the improved influence propagation model has certain improvement in the propagation effect than that before the improvement.