The information dissemination in social networks is affected by many factors. However, node attitude which is an important influence factor of information dissemination in social network have not been fully considered in the previous works. Aiming at the problem of the influence of node attitude on information dissemination, this paper proposes an information propagation model based on evolutionary game. Firstly, from the individual point of view, the node’s attitude update rules are defined according to non-Bayesian social learning rules. Secondly, an inter-node game matrix based on attitude value is established. Based on the evolution analysis paradigm, an information dissemination model based on node attitude is established. The equilibrium solution of dynamic equations is replicated for both positive and negative attitudes, and the corresponding equilibrium points are stabilized. The validity of the proposed model is verified by numerical analysis and simulation experiments. They all show that the different attitudes of nodes play an important role in information dissemination.

社交网络中的信息传播受到许多因素的影响。然而，节点姿态是社交网络中信息传播的重要影响因素，在先前的工作中并未得到充分考虑。针对节点姿态对信息传播的影响问题，提出了一种基于进化博弈的信息传播模型。首先，从个体的角度出发，根据非贝叶斯社会学习规则定义节点的态度更新规则。其次，建立基于姿态值的节点间游戏矩阵。基于进化分析范式，建立了基于节点姿态的信息传播模型。对正和负姿态都复制了动力学方程的平衡解，并且相应的平衡点被稳定。通过数值分析和仿真实验验证了所提模型的有效性。它们都表明节点的不同态度在信息传播中起着重要的作用。