考虑到实际复杂网络中的个体对于谣言的免疫存在差异的情况,通过引入谣言接受度函数,描述不同节点的非一致性传播率。基于平均场理论,建立具有非一致传播率的无标度网络谣言传播模型,研究了无标度网络上的谣言传播行为。理论分析和仿真实验表明,节点对谣言接受度的差异可导致谣言传播速度减缓,传播规模减小,同时谣言在无标度网络上的传播阈值明显增加,可以有效抑制谣言的爆发和降低谣言传播的风险。
Taking into account the differences between individual immune to rumours on real-world complex networks, to describe non-uniform propagation rates of different nodes by introducing the rumour acceptability function. Based on mean-field theory, rumour propagation model for scale-free network with non-uniform propagation rates was proposed, and then the behavior of rumour propagation on scale-free network was studied. Theoretical analysis and simulation results show that nodes with different rumour acceptability could lead to slowing the spread of rumours. Furthermore, rumour acceptability make positive propagation threshold arise, and effectively contain the outbreak and reduce the risk of rumours.
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