A MATHEMATICAL MODEL SEABRQ WITH OPTIMAL CONTROL FOR SOCIAL MEDIA ADDICTION INCORPORATING COGNITIVE DYSREGULATION
DOI:
https://doi.org/10.25077/jmua.15.3.388-405.2026Keywords:
compartmental model, optimal control, social media addictionAbstract
This study proposes a SEABRQ compartmental model to analyze social media addiction transmission and its cognitive consequences, referred to as cognitive dysregulation or 'brain rot.' The total population is partitioned into six compartments: Susceptible (S), Engaged (E), Addicted (A), Cognitively Dysregulated (B), Regulated (R), and Quit (Q).
$R_0$ is computed using the next-generation matrix approach, and local asymptotic stability of both equilibrium points is established analytically. Sensitivity analysis identifies transmission rate and contact rate as the parameters most strongly amplifying $R_0$.
An optimal control framework is incorporated into the model with two time-dependent control variables: $u_1(t)$, representing preventive and early regulation interventions targeting susceptible and engaged populations, and $u_2(t)$, representing treatment and behavioral support directed at addicted and cognitively dysregulated individuals. The optimal control problem is solved by applying Pontryagin’s Maximum Principle.
Numerical simulations using the fourth-order Runge-Kutta method demonstrate that the combined application of both controls produces the most significant reduction in social media addiction persistence and its cognitive dysregulation effects over a five-year horizon.
References
1] Deckker, D., Sumanasekara, S., 2025, A Systematic Review of the Impact
of Artificial Intelligence, Digital Technology, and Social Media on Cognitive
Functions, International Journal of Research and Innovation in Social Science,
Vol. IX: 134–154
[2] Kemp, S., 2025, Dig-
ital 2025: Global Overview Report, https://datareportal.com/reports/digital-
2025-global-overview-report, [Accessed 14-04-2026]
[3] Thuy, D., 2025, Average Daily Time Spent on Social Media Worldwide 2012-
2025, https://www.statista.com/statistics/433871/daily-social-media-usage-
worldwide/, [Accessed 14-04-2026]
[4] Tereshchenko, S.Y., 2023, Neurobiological risk factors for problematic social
media use as a specific form of Internet addiction: A narrative review, World
Journal of Psychiatry, Vol. 13: 160–173
[5] Harsanto, E., Yunike, Y., Kusumawaty, I., 2025, Brain Rot and Focus Disorders
Survey Impact of Consumption of TikTok and Instagram Reels Content on
Teenagers, International Journal Scientific and Professional, Vol. 4: 593–600
[6] Fox, J., Moreland, J.J., 2015, The dark side of social networking sites: An ex-
ploration of the relational and psychological stressors associated with Facebook
use and affordances, Computers in Human Behavior, Vol. 45: 168–176
[7] Yousef, A.M.F., Alshamy, A., Tlili, A., Metwally, A.H.S., 2025, Demystifying
the New Dilemma of Brain Rot in the Digital Era: A Review, Brain Sciences,
Vol. 15: 283
[8] Baca, A., Gonzalez, D., Ogueda, A.G., Matto, H.C., Seshaiyer, P., 2024, Math-
ematical Modeling, Analysis, and Simulation of Patient Addiction Journey,
CODEE Journal, Vol. 18: 1–20
[9] KHOERUNNISA, K., ADI, Y.A., 2021, MASALAH KONTROL OPTIMAL
18 Eva Salsabila, Yudi Ari Adi
PADA PENYEBARAN COVID-19 DI JAWA TENGAH DENGAN VAKSI-
NASI, Jurnal Matematika UNAND, Vol. 10: 538–552
[10] NAFISAH, Z., Adi, Y.A., 2024, MODEL SEIR DENGAN PSEUDO-
RECOVERY PADA KASUS TUBERKULOSIS DI JAWA BARAT, Jurnal
Matematika UNAND, Vol. 13: 170–187
[11] Saman, A., Side, S., Pratama, M.I., Sanusi, W., 2022, Optimal control of the
SEIR model of online game addiction using guidance and counseling, Engi-
neering Letters, Vol. 30: 27–31
[12] Zakiyyah, A., Bahri, S., 2025, STABILITY ANALYSIS OF DRUG ABUSE
TRANSMISSION DYNAMICS, Jurnal Matematika UNAND, Vol. 14: 103–
116
[13] Alemneh, H.T., Alemu, N.Y., 2021, Mathematical modeling with optimal con-
trol analysis of social media addiction, Infectious Disease Modelling, Vol. 6:
405–419
[14] Juhari, J., Alisah, E., Safitri, A.A., Sujarwo, I., 2024, Optimal Control of a
Modified Mathematical Model of Social Media Addiction, InPrime: Indonesian
Journal of Pure and Applied Mathematics, Vol. 6: 112–123
[15] Ali, A.S., Javeed, S., Faiz, Z., Baleanu, D., 2024, Mathematical modelling,
analysis and numerical simulation of social media addiction and depression,
PLOS ONE, Vol. 19: e0293807
[16] Perko, L., 2001, Differential Equations and Dynamical Systems, Texts in Ap-
plied Mathematics, Springer New York
[17] Murray, J.D., 2002, Mathematical Biology: I. An Introduction, Interdisci-
plinary Applied Mathematics, 3rd, Springer, New York
[18] van den Driessche, P., Watmough, J., 2002, Reproduction numbers and sub-
threshold endemic equilibria for compartmental models of disease transmission,
Mathematical Biosciences, Vol. 180: 29–48
[19] Chitnis, N., Hyman, J.M., Cushing, J.M., 2008, Determining important param-
eters in the spread of malaria through the sensitivity analysis of a mathematical
model, Bulletin of mathematical biology, Vol. 70: 1272–1296
[20] Pontryagin, L., 1987, Mathematical Theory of Optimal Processes, Classics of
Soviet Mathematics, Taylor & Francis
[21] Guo, Y., Li, T., 2020, Optimal control and stability analysis of an online game
addiction model with two stages, Mathematical Methods in the Applied Sci-
ences
[22] Kongson, J., Sudsutad, W., Thaiprayoon, C., Alzabut, J., Tearnbucha, C.,
2021, On analysis of a nonlinear fractional system for social media addiction
involving Atangana–Baleanu–Caputo derivative, Advances in Difference Equa-
tions, Vol. 2021
[23] Shannon, H., Montgomery, M., Funk, A., Kamyabi, A., Hunt, M., Pope, C.,
Hellemans, K., Guimond, S., 2025, Beyond problematic social media use and
the brain: A public health and policy perspective, Annals of the New York
Academy of Sciences, Vol. 1550: 14–22
[24] Hidayat, R., Wangid, M.N., 2025, Phenomenology: Brain Rot in Gen Z Re-
viewed from the Perspective of the Cognitive Behavioral Therapy (Cbt) Ap-
proach, World Psychology, Vol. 4: 135–148
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