Modeling and simulation on information propagation on instant messaging network based on two-layer scale-free networks with tunable clustering

Since Instant Messaging Network is one of the most important ways to propagate information, in order to monitor and forecast the propagation behaviors on Instant Messaging Network, it is necessary to study information propagation nature, discipline and methods. Scale-free network with tunable clustering can be used to build instant messaging. Based on it, we propose a new two-layer model of Instant Messaging Network, and formulate its information propagation rules as well. We have simulated this model and observed the diversification of group numbers, clustering coefficient, spreader and stifler. Results show that the more the number of group network is, the larger cluster coefficient and the higher maximum spreader and the higher final value of stifler are. Thus group network and cluster coefficient effect the information propagation.