The traditional information propagation model is more suitable for homogeneous network, and cannot be effectively applied to the non-homogeneous scale-free Social Network (SN). To solve this problem, an information propagation model based on local information was proposed. Topological characteristic difference between users and different effect on information propagation of user influence were considered in the model, and the probability of infection was calculated according to the neighbor nodes' infection and authority. Thus it could simulate the information propagation on real social network. By taking simulation experiments on Sina microblog networks, it shows that the proposed model can reflect the propagation scope and rapidity better than the traditional Susceptible-Infective-Recovered (SIR) model. By adjusting the parameters of the proposed model, it can verify the impact of control measures to the propagation results.
程晓涛, 刘彩霞, 刘树新. 基于局域信息的社交网络信息传播模型[J]. 计算机应用, 2015, 35(2): 322-325.
CHENG Xiaotao, LIU Caixia, LIU Shuxin. Information propagation model for social network based on local information. Journal of Computer Applications, 2015, 35(2): 322-325.
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2015, Vol. 35 
