12. The method of claim 10 wherein said continuous-time Markov process further comprises: denoting a transition probability from one state to another state over a time period and extracting a message propagation state utilizing said time stamp information; computing a user rank by calculating a transition rate matrix based on an extracted state in order to thereafter generate a transition matrix and a steady state distribution of said transition matrix; estimating a mean first passage matrix and a mean first passage time matrix in order to calculate said user rank; and performing a propagation estimation by estimating a transition probability matrix to identify said key influencer.
10. The method of claim 9 wherein said dynamic diffusion model comprises at least one of the following types of model: a diffusion graph construction process; and a continuous-time Markov process.