通过分析与比较多种免疫策略的优缺点,提出了一种改进的综合免疫控制策略,即将具有重要作用的节点度融入到经典的综合免疫策略中。以理想的社交网络为基础,将改进的综合免疫控制策略应用于具有潜伏期的传染病动力学模型(SEIR)中,对免疫前和免疫后的谣言传播演化过程进行仿真。计算机仿真结果表明,改进后的综合免疫控制策略在社交媒体网络谣言传播过程中具有较好的免疫效果。
An improved synthesis immunization strategy was proposed through analyzing and comparing advantages and disadvantages of various immunization strategies. This immunization strategy amalgamated the importance of node degree into the classic synthesis immunization strategy. Based on the ideal social network, the improved synthesis immunization strategy was used into the SEIR model(epidemic dynamics models with latency) and also was utilized to do the simulation for the evolution process of rumor spreading before and after immunization. Computer simulation results show that the improved synthesis immunization strategy has better immune effect on rumor spreading in the social network.