Abstract
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.
Highlights
Avoiding overdiffusion or propagation of broadcasted messages or information in social networks media or platform can be necessary and needed in preventing disinformation, panic, or overreaction due to content sensibility in a closed environment
We propose to consider the impact of social network users’ behavior on information propagation dynamic when two influential publishers publish two messages or pieces of information on a social media platform
6 Conclusion In this paper, to model the interaction effect of two messages traveling through social networks sharing the same interest for readers, we proposed a two-species logistic interactive model with Holling type functional response and maturation parameters for both interacting species
Summary
Avoiding overdiffusion or propagation of broadcasted messages or information in social networks media or platform can be necessary and needed in preventing disinformation, panic, or overreaction due to content sensibility in a closed environment. We propose to consider the impact of social network users’ behavior on information propagation dynamic when two influential publishers publish two messages or pieces of information on a social media platform. The published messages may reach a larger audience, depending on publishers’ ties and importance in respect to the number of followers.
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