基于分数演算的社交媒体成瘾建模与分析

IF 1.3 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Frontiers in Applied Mathematics and Statistics Pub Date : 2023-08-09 DOI:10.3389/fams.2023.1210404
Meshal Shutaywi, Ziad Ur Rehman, Z. Shah, N. Vrinceanu, Rashid Jan, Wejdan Deebani, O. Dumitrașcu
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引用次数: 0

摘要

社交媒体成瘾是指过度使用社交媒体平台,给个人带来负面后果。它的特点是无法控制地使用社交媒体,从而对人类生活产生负面影响。本研究旨在构建一个数学模型,概念化SMA的传播动力学,并在分数导数的框架下探索这种有害成瘾的潜在机制。下面列出了分数微积分的基本原理来检验这个模型。识别平衡点,并计算再生参数R0,以了解SMA扩散的动力学。对平衡进行了稳定性分析,并对各种输入参数的影响进行了数值研究。通过仿真证明了所提出的SMA模型的存在性和唯一性,并研究了不同输入因素下的复杂动力学。为了开发有效的控制策略,研究了系统的动力学行为,并探讨了分数阶导数对波动的影响。这项研究提供了一系列建议,旨在减少社交媒体成瘾的发生。
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Modeling and analysis of the addiction of social media through fractional calculus
Social media addiction (SMA) is the excessive use of social media platforms, resulting in negative consequences for individuals. It is characterized by an uncontrollable urge to use social media, leading to negative effects in human's life. This study aims to construct a mathematical model to conceptualize the transmission dynamics of SMA and explore the underlying mechanisms of this harmful addiction in the framework of fractional derivative. The fundamentals of fractional calculus are listed for examining the model. Equilibrium points are identified, and the reproduction parameter R0 is computed to understand the dynamics of SMA spread. Stability analysis of the equilibria is performed, and the impact of various input parameters is numerically investigated. The existence and uniqueness of the proposed SMA model are demonstrated through simulations, which also study the intricate dynamics with respect to different input factors. To develop effective control strategies, the system's dynamical behavior is examined, and the influence of fractional derivative order on fluctuations is explored. This research offers a range of suggestions aimed at reducing the occurrence of social media addiction.
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来源期刊
Frontiers in Applied Mathematics and Statistics
Frontiers in Applied Mathematics and Statistics Mathematics-Statistics and Probability
CiteScore
1.90
自引率
7.10%
发文量
117
审稿时长
14 weeks
期刊最新文献
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