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中文摘要：
在基本谣言传播模型的基础上引入真实信息因素，构建了SIH谣言传播模型，并借助MonteCarlo模拟对模型进行了仿真。模型分别从真实信息发布时刻，真实信息发布者的数量、度和公信力四点研究了真实信息发布如何影响谣言的传播过程。Barabasi．Albert网络上的仿真结果表明，谣言爆发初期是谣言治理的最佳时期，真实信息的发布对谣言的传播起到扼制作用。另外，谣言传播者比例所能达到的峰值Smax与真实信息发布者所占比例卵之间近似服从幂律分布Smax；该峰值与真实信息发布者公信力提升的倍数03之间也近似服从幂律分布Smax其中指数μ1和μ2的大小均受到真实信息发布时间的影响。
英文摘要：
This paper presented an improved model for rumor spreading by the introduction of the factual information factor based on the classic rumor spreading model. And through the Monte Carlo simulations, it investigated the effect of the factual information release on the rumor spreading process from four expects： the time when the factual information was released, the quantity, credibility and connectivity of the factual information publishers. The results show that the sooner that the measures are taken, the better the result for the preventing of the rumor spreading. And to release the factual information is effective for better control of rumor propagation. In addition, the simulation results show that the maximal density of rumor spreaders Smax follows the power law distributions ： Smax in which the parameter refers to the proportion of the factual information publishers, Smax, in which the parameter co stands for the multiple that the credibility of the factual information publish- er increases. And the value of the parameter/x1 and/x2 is affected by the time steps that the factual information is released.
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