基于SIR模型的网络谣言治理

网络时代的信息不对称令网络谣言层出不穷,极易污浊民众思想、混沌网络生态.为避免网络谣言继发作用于现实空间,必须不断创新方式方法,加强网络谣言治理.经典SIR传染病模型在人群分类、扩散原理上与信息传播存在相似性,其降低感染率、提高免疫率、把控潜伏期等思路能够予以网络谣言治理以启发.厘清SIR模型利用传播节点、传播过程控制疾病流行的有效举措,可梳理出网络谣言的易感者、感染者、免疫者及传播链条,并进一步提出具体治理策略,如把控传播要素、利用"空窗期"和抓取重要节点等,为网络谣言治理提供新的策略参考.

Research on Internet Rumor Management based on SIR Model

The information asymmetry in the network era makes the network rumors emerge in an endless stream, which is extremely easy to pollute the public thoughts and chaotic network ecology. In order to avoid the secondary effect of network rumors on the real space, it is necessary to innovate ways and methods constantly and strengthen the management of network rumors. The classical SIR epidemic model has similarities in information classification and diffusion principles with population spreading, the idea of controlling the incubation period, such as reducing the infection rate and increasing the immunization rate, can greatly enlighten the issue of Internet rumor control. Clarifying the effective measures that the SIR model uses to spread the nodes and spread the process to control the epidemic of the disease can figure out the susceptible, infected, immunized and spreading chains of Internet rumors, and find out further propose specific governance strategies. For example, controlling communication elements with empty window period and grasping important nodes is helpful to provide new strategic reference for network rumor governance.