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Dynamic of interactive model for information propagation across social networks media
Advances in Difference Equations ( IF 4.1 ) Pub Date : 2020-06-29 , DOI: 10.1186/s13662-020-02774-y
Yaming Zhang , Fei Liu , Yaya H. Koura , Hao Wang

Controlling information diffusion or propagation through social networks can be challenging when dealing with information related to a subject of highest interest for the public. The complexity level of control depends on subject importance, users’ dynamic, and network structure. When two published messages or pieces of information share the same interest for targeted readers, analyzing their propagation dynamic for control and prediction is of great interest. This article proposes to model, based on a modified interactive system with Holling type functional response, the dynamic of underlying relationship between two broadcasted messages traveling through social networks media. We showed in the qualitative analysis of the proposed model that system could be stable at certain conditions, and the model-system exhibited very rich dynamical behavior. Numerical simulation results validated theoretical analyses and suggested adapting resources harvesting and assimilation efficiency for an authoritative message to stabilize the system and control the dissemination of information in a closed environment.



中文翻译:

跨社交网络媒体传播信息的交互式模型的动态

当处理与公众最感兴趣的主题有关的信息时,控制信息通过社交网络的传播或传播可能具有挑战性。控制的复杂程度取决于主题的重要性,用户的动态和网络结构。当两个已发布的消息或一条信息共享给目标读者相同的兴趣时,对它们的传播动态进行分析以进行控制和预测非常重要。本文提议基于具有Holling类型功能响应的改进的交互式系统,对通过社交网络媒体传播的两个广播消息之间的潜在关系进行动态建模。我们在提出的模型的定性分析中表明,系统可以在一定条件下保持稳定,并且模型系统表现出非常丰富的动力学行为。

更新日期:2020-06-29
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