社交网络中考虑不同传播概率上的谣言传播模型

现有的谣言传播模型无法描述不同节点对谣言传播概率的影响，从而造成了谣言传播模型无法真实地描述现实社交网络中的谣言传播，进而影响了对网络中谣言传播的控制。针对这一问题，在SIR传播模型的基础上考虑了谣言在不同节点之间的传播概率，并且分析了不同节点对传播概率的影响情况，从而建立了社交网络中考虑网络节点自身影响的谣言传播模型。最后，通过将改进的谣言传播模型与常用的SIR模型进行对比，实验结果显示，提出的改进模型可以较快地控制网络中谣言的传播。

Rumor propagation model considering different propagation probability in social networks

The existing rumor propagation models can''t describe the effect of different nodes on the probability of rumor propagation. Thus, the existing rumor propagation models can''t truly describe the spread of rumors in the real social networks. Thereby, it affects the suppression of rumor propagation in social networks. To solve this problem, this paper studied the rumor propagation probability between different nodes based on the SIR propagation model, and analyzed the impact of different nodes on the propagation probability. It proposed the rumor propagation model that considering the influence of nodes for the social networks. Finally, compared with the commonly used SIR model, the experimental results show that the improved model can quickly suppress the rumor propagation in networks.