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将社交网络中的个体设为健康者(S)、传播者(I)、反击者(C)和免疫者(R)4种状态,根据不同状态之间的转移机制建立了SICR谣言传播模型.针对“人云亦云”的社会从众心理,引入个体的自我学习机制,基于BA无标度网络仿真分析了自我学习机制以及初始传播者、天然反击者重要性对谣言传播行为的影响.结果显示:自我学习机制能够促进谣言传播;初始传播者越重要,谣言传播范围越广、速度越快;天然反击者的重要性越高,抑制谣言传播的效果越明显.
According to the transfer mechanism between different states, the SICR rumor propagation model is established by setting the individuals in the social network as four states of healthy (S), communicator (I), counter-attacker (C) and immune (R) Based on the self-learning mechanism of individuals, this paper analyzes the self-learning mechanism and the influence of the initial communicators and the nature of counterattacks on the rumor propagation based on BA scale-free network simulation.The results show that: The self-learning mechanism can promote the spread of rumors; the more important the initial communicators, the wider the spread of rumors, the faster the speed; the higher the importance of natural counterattacks, the more effective the suppression of the spread of rumors.