期刊
FRONTIERS IN PUBLIC HEALTH
卷 10, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.781691
关键词
individual heterogeneity; rumor diffusion; SEIR-OM model; rumor control; COVID-19 pandemic
资金
- National Social Science Foundation of China [20BTQ059]
This article studies the diffusion process of rumors and proposes an improved SEIR-OM model to simulate and analyze the spread of rumors. The research finds that a higher average value of interest correlation leads to a wider range of rumor diffusion, and the impact of network degree on diffusion has a peak. Adopting strategies in advance can effectively reduce the influence of rumors.
At present, rumors appear frequently in social platforms. The rumor diffusion will cause a great impact on the network order and the stability of the society. So it's necessary to study the diffusion process and develop the rumor control strategies. This article integrates three heterogeneous factors into the SEIR model and designs an individual state transition mode at first. Secondly, based on the influencing factors such as the trust degree among individuals, an individual information interaction mode is constructed. Finally, an improved SEIR model named SEIR-OM model is established, and the diffusion process of rumors are simulated and analyzed. The results show that: (1) when the average value of the interest correlation is greater, the information content deviation is lower, but the rumor diffusion range will be wider. (2) The increase of the average network degree intensifies influence of rumors, but its impact on the diffusion has a peak. (3) Adopting strategies in advance can effectively reduce the influence of rumors. In addition, the government should enforce rumor-refuting strategies right after the event. Also, the number of rumor-refuting individuals must be paid attention to. Finally, the article verifies the rationality and effectiveness of the SEIR-OM model through the real case.
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