Probability Model for Information Dissemination on Complex Networks

摘要

In order to analyze the regulation of information dissemination on the complex network, SIR probability model has been built to represent the peoples' interaction during information dissemination on complex networks. By introducing and computing the state transiting probabilities of the net nodes, we can effectively analyze and update the nodes' states at each step in information dissemination. Accordingly, the evolution algorithm of information dissemination is designed and realized by simulation. Simulation experiments of information dissemination on ER network and BA network with different parameters reveal that the density of final awareness will not be affected by the total of nodes, but increase progressively following the increase of average degree until a certain value. Different degree distributions can also be effect on the density of final awareness. SIR probability model can accurately reflect the process of information dissemination on complex networks. It can be used for the description and analysis of information dissemination on complex networks.