Dynamic of interactive model for information propagation across social networks media

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...

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Bibliographic Details
Published inAdvances in difference equations Vol. 2020; no. 1; pp. 1 - 15
Main Authors Zhang, Yaming, Liu, Fei, Koura, Yaya H., Wang, Hao
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 29.06.2020
Springer Nature B.V
SpringerOpen
Subjects
Analysis
Competitive interaction
Computer simulation
Difference and Functional Equations
Functional Analysis
Holling type II
Information dissemination
Information propagation
Interactive control
Interactive systems
Logistic model
Mathematical models
Mathematics
Mathematics and Statistics
Messages
Ordinary Differential Equations
Partial Differential Equations
Propagation
Qualitative analysis
Social network
Social networks
Stability analysis
Social network
Holling type II
Stability analysis
Logistic model
Information propagation
Competitive interaction
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Summary: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.
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ISSN:1687-1847
1687-1839
1687-1847
DOI:10.1186/s13662-020-02774-y