教育策略和免疫策略对网络谣言传播的影响研究

Influence of Education Strategies and Immunization Strategies on the Internet Rumor Spreading

[目的/意义]网络的发展和普及更加便利于谣言的制造和传播,这就使得社会的安定受到更严重的威胁。因此,掌握谣言传播规律并制定相应的应对策略显得尤为重要。[方法/过程]在提出新的谣言传播模型基础上,重点研究教育策略和免疫策略对谣言传播的影响。分别在均匀网络和非均匀网络中建立了对应谣言传播的平均场方程。[结果/结论]对平均场方程进行了稳态分析,得到了与教育率及免疫率相关的谣言传播阈值,从而分析出教育策略和免疫策略的有效性。通过对模型仿真模拟验证了无论是在均匀网络还是在BA无标度网络中,教育策略和免疫策略都可以有效抑制谣言的传播。仿真结果还表明教育率越高抑制谣言传播的效果越好,且在BA无标度网络中,目标免疫策略比随机免疫策略的效果更好。

[Purpose/Significance]The development and popularity of the internet facilitate the breeding and spreading of rumors,which is horribly posing threats to the stability of the society.Therefore,it is very important to understand the pattern in which rumors spread and formulate corresponding control strategies to prevent the rumors from spreading.[Method/Process]Based on the established novel rumor spreading model,we investigate the impacts of education strategies and immunization strategies on the process of rumor spreading.The corresponding mean-field equations are respectively derived in homogeneous networks and inhomogeneous networks.[Result/Conclusion]Steady analysis is done for the mean-field equations,the involving critical thresholds are obtained,which are related to the education rate and immunization rate.Thus,the effectiveness of education strategies and immunization strategies is analyzed.By simulation,we verify that either in homogeneous networks or in BA scale-free networks,both education strategies and immunization strategies can inhibit the spreading of rumor.Simulations results also demonstrate that the higher the education rate,the better the effect of restraining rumors and the targeted immunization strategy works better in the BA scale-free network than in the random immunization strategy in terms of rumor control.