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针对网络谣言泛滥且难以识别、监管的现状,从话题扩散和群体行为交互两方面对网络谣言的传播进行协同研究,设计了网络谣言传播系统的计算实验模型,并从网民服务商监管、媒介数量和网民密度三方面进行了实验研究。结果表明:无监管系统中较易产生网络谣言和衍生话题;网络服务商的监管会导致更多网民了解相关信息,但会显著降低传谣者比率;应用媒介数量、网民数量与信息传播速度正相关,媒介越多,谣言初始传播速度越快,但不会影响系统稳定状态时各类网民的比例,网民密度越大,网络谣言扩散速度越快,谣言话题越易消退。
Aiming at the present situation of network rumor flooding, which is difficult to identify and supervise, this paper conducts a collaborative research on the spread of network rumors from the perspective of topic diffusion and group behavior interaction. It also designs a computational experiment model of network rumor propagation system. And netizen density three aspects of experimental research. The results show that there is more network rumor and derivative topics in the non-regulatory system. The supervision of ISPs will lead more netizens to understand the relevant information, but will significantly reduce the rumor rate; the number of applied media, the number of netizens and the speed of information dissemination Relevant, more media, the initial rumor spread faster, but does not affect the stability of the system, the proportion of all types of Internet users, the greater the netizen density, the faster the spread of rumors network, the more likely to subside the rumors.