Transmission Model of Micro-Blog Network Information Based on Gray Prediction

Micro-bolg is hard to predict and control the information transmission which is dynamic, complex and disorder. Because the characters of gray theory can solve the problem with little data, poor information and indeterminacy, dynamic and indeterminable factors when in the process of transmission can be the inputting parameters for extensional BP neural network; then, it can train and predict the results of transmission. The simulations consider that information of micro-blog transmits stable firstly; and then, its transmission is rapid and becomes the stable community slowly lastly. The model has value on predicting and controlling in information transmission of micro-blog.