Mathematical Modeling of Social Media Addiction and Depression in a Stratified Population
DOI:
https://doi.org/10.62054/ijdm/0204.05Keywords:
Modelling, Social media, Addiction, Depression, Equilibrium pointsAbstract
This study considers a deterministic compartmental model to analyse the dynamics between social media addiction and depression within a heterogeneous population comprising educated and non-educated individuals. The model considers critical transitions of behaviour: exposure, light use, addiction, depression, recovery, and quitting. Solutions are shown to be positive and bounded. The basic reproduction number is derived through the next-generation matrix approach. The stability analysis indicates that if the reproduction number is less than unity, then the social-media-free equilibrium is locally and globally asymptotically stable. Numerical simulation and sensitivity analysis suggest that increased transmission and media-induced depression enhance addiction and depression. At the same time, high recovery, education, and quitting rates significantly reduce the prevalence of addiction and depression. Thus, the present results emphasize the imperative need for educational intervention and mental-health strategies to help alleviate social media-related psychological disorders.
References
Alemneh H. T., & Alemu N. Y. (2021). Mathematical modeling with optimal control analysis of social media addiction. Infectious Disease Modelling, 6, 405–419. https://doi.org/10.1016/j.idm.2021.01.011 PMID: 33615084
Ali AS, Javeed S, Faiz Z, Baleanu D (2024) Mathematical modelling, analysis and numerical simulation of social media addiction and depression. PLoS ONE 19(3): e0293807. https:// doi.org/10.1371/journal.pone.029380
Ali S., Elciyar K., & Kizilhan T. (2019). A comparative study on social media addiction of high school and university students. Contemporary educational technology, 10(2), 106–119. https://doi.org/10.30935/ cet.554452
Anise M. S. W., Cheung V. I., Ku L., & Hung E. P. W. (2013). Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioral Addictions, 2(3), 160– 166. https://doi.org/10.1556/JBA.2.2013.006
Baruah T. D. (2012). Effectiveness of social media as a tool of communication and its potential for technology enabled connections: A micro-level study. International journal of scientific and research publications, 2(5), 1–10.
Blower, S. M., & Dowlatabadi, H. (1994). Sensitivity and uncertainty analysis of complex models of disease transmission: an HIV model, as an example. International Statistical Review, 62(2), 229. https://doi.org/10.2307/1403510
Castillo-Chavez, C., Feng, Z. and Huang, W. (2002) On the Computation of RO and Its Role on Global Stability. In: Castillo-Chavez, P.C., Blower, S., Driessche, P., Kirschner, D. and Yakubu, A.-A., Eds., Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction, Springer, Berlin, 229.
https://doi.org/10.1007/978-1-4757-3667-0_13.
Chakraborty K., Basu D., and Vijaya Kumar KG. (2010). Internet addiction: consensus, controversies, and the way ahead. East Asian Archives of Psychiatry, 20(3), 2010. PMID: 22348866.
Deborah S. T., Subair O. Y., & Tayo S. (2019). Social media: Usage and influence on undergraduate studies in Nigerian universities. International Journal of Education and Development using Information and Communication Technology (IJEDICT).
Dillon J. L., Baeza N., Ruales M. C., & Song B. (2002). A Mathematical Model of Depression in Young Women as a Function of the Pressure to be “Beautiful”.
Guedes E., Nardi A. E., Guimar F. M. C. L., Machado S., & King A. L. S. (2016). Social networking, a new online addiction: a review of Facebook and other addiction disorders. Medical Express, 3(1).
Guo Y., & Li T. (2020). Optimal control and stability analysis of an online game addiction model with two stages. Mathematical Methods in the Applied Sciences, 43(7), 4391–4408.
Haileyesus, T., Bekele, F., & Demissie, M. (2021). Optimal control of social media addiction dynamics. Applied Mathematical Modelling, 91, 492–507. https://doi.org/10.1016/j.apm.2021.04.018
Hou Y., Xiong D., Jiang T., Song L., & Wang Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of psychosocial research on cyberspace, 13(1). https://doi. org/10.5817/CP2019-1-4.
Ishaku A., Saidu Musa B., Sanda A., and Bakoji A.M. (2018). Mathematical assessment of social media impact on academic performance of students in higher institution.
Juhari, S., Ali, S., & Wang, L. (2024). A refined compartmental model for social media addiction stages and stability analysis. Computational Social Systems, 6(1), 45–67.
Kamal, M., Amin, M. A., Ahmed, M., Ahmed, P., & Islam, M. A. (2025). Mathematical modeling and optimal control of social media addiction with stability and sensitivity analysis. Franklin Open, 12, 100354. https://doi.org/10.1016/j.fraope.2025.10035.
Kim, S. G., Park, J., Kim, H. T., Pan, Z., Lee, Y., & McIntyre, R. S. (2019). The relationship between smartphone addiction and symptoms of depression, anxiety, and attention-deficit/hyperactivity in South Korean adolescents. Annals of general psychiatry, 18, 1. https://doi.org/10.1186/s12991-019-0224-8
Kington, R. S., Arnesen, S., Chou, W. S., Curry, S. J., Lazer, D., & Villarruel, A. M. (2021). Identifying Credible Sources of Health Information in Social Media: Principles and Attributes. NAM perspectives, 2021, 10.31478/202107a. https://doi.org/10.31478/202107a
Monacis L., De Palo V., Griffiths M. D., & Sinatra M. (2017). Social networking addiction, attachment style, and validation of the Italian version of the bergen social media addiction scale. Journal of Behavioral Addictions, 6(2), 178–186. https://doi.org/10.1556/2006.6.2017.023 PMID: 28494648.
Shutaywi, M., Rehman, Z. U., Shah, Z., Vrinceanu, N., Jan, R., Deebani, W., & Dumitrascu, O. (2023). Modeling and analysis of the addiction of social media through fractional calculus. Frontiers in Applied Mathematics and Statistics, 9. https://doi.org/10.3389/fams.2023.1210404
Shek D. T. L., Tang V. M. Y., & Lo C. Y. (2008). Internet addiction in Chinese adolescents in Hong Kong: Assessment, profiles, and psychosocial correlates. The Scientific World Journal. https://doi.org/ 10.1100/tsw.2008.104.
Siddiqui S., & Sigh T. (2016). Social media its impact with positive and negative aspects. International Journal of Computer Applications Technology and Research, 5(2), 71–75. https://doi.org/10.7753/ IJCATR0502.1006.
Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health, 11(1), 66. https://doi.org/10.1186/1471-2458-11-66
Van Den Driessche, P., & Watmough, J. (2002). Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences, 180(1–2), 29–48. https://doi.org/10.1016/s0025-5564(02)00108-6.
Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N. (2020). Social capital and sleep quality in individuals who Self-Isolated for 14 days during the coronavirus disease 2019 (COVID-19) outbreak in January 2020 in China. Medical Science Monitor, 26, e923921. https://doi.org/10.12659/msm.923921
Xiang Z., Magnini V. P., Fesenmaier D. R. (2015). Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet. Journal of retailing and consumer services, 22, 244–249. https://doi.org/10.1016/j.jretconser.2014.08.005
Zhou, J., Liu, L., Xue, P., Yang, X., & Tang, X. (2020). Mental health response to the COVID-19 outbreak in China. American Journal of Psychiatry, 177(7), 574–575. https://doi.org/10.1176/appi.ajp.2020.20030304
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Copyright (c) 2025 Ayuba Sanda, Ahmadu B. Muhammad, Titus A. Justina, Abubakar M. Bakoji, Mustapha Abdulrahman (Author)

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