The Mathematical Dynamics of the Caputo Fractional Order Social Media Addiction Design

The paper presents the mathematical dynamics and numerical simulations for a fractional-order social media addiction (FSMA) model. This addiction structure is replaced by involving the Caputo fractional (CF) derivative to get the FSMA model. In this study, our main goal is to understand how the fractional derivative impresses the dynamics of the model. Thus, the theoretical properties are first examined. Afterward, the stability properties of the mentioned model are discussed. Besides, the fractional backward differentiation formula (FBDF) displays numerical simulations of the model. Observing both theoretical and numerical results, the two equilibrium points' stability is not impacted by the order of fractional derivatives. However, each solution converges more quickly to its stationary state for higher values of the fractional-order derivative. Finally, we would like to say that the acquired numerical results are compatible with our theoretical outcomes.

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Publication Details

Journal
Communications in Advanced Mathematical Sciences
Published
2025-03-01
DOI
https://doi.org/10.33434/cams.1559808
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
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article

The Mathematical Dynamics of the Caputo Fractional Order Social Media Addiction Design

Emrah Karaman, Bahar Karaman
1 citations
Communications in Advanced Mathematical Sciences
Fractional Differential Equations Solutions
1.37
article

The Mathematical Dynamics of the Caputo Fractional Order Social Media Addiction Design

Emrah Karaman, Bahar Karaman
article en
1 citations

Abstract

The paper presents the mathematical dynamics and numerical simulations for a fractional-order social media addiction (FSMA) model. This addiction structure is replaced by involving the Caputo fractional (CF) derivative to get the FSMA model. In this study, our main goal is to understand how the fractional derivative impresses the dynamics of the model. Thus, the theoretical properties are first examined. Afterward, the stability properties of the mentioned model are discussed. Besides, the fractional backward differentiation formula (FBDF) displays numerical simulations of the model. Observing both theoretical and numerical results, the two equilibrium points' stability is not impacted by the order of fractional derivatives. However, each solution converges more quickly to its stationary state for higher values of the fractional-order derivative. Finally, we would like to say that the acquired numerical results are compatible with our theoretical outcomes.

Communications in Advanced Mathematical SciencesVol. 8(1)
Eskisehir Technical University (TR)
Openalex Percentile: Top 25%
Fractional Differential Equations Solutions
1.37
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