Modeling the Dynamics of Youth Involvement in Yahoo-Yahoo (Cybercrime) and Yahoo+ (Ritualism) in Nigeria: A Mathematical Approach
Abstract
The rising involvement of young people in yahoo-yahoo (cybercrime) and yahoo+ (ritualism) has become a major societal concern, particularly in Nigeria, where economic instability and peer pressure drive vulnerable individuals into these illicit activities. This study develops a deterministic compartmental model to analyze the transition of youths through different stages: vulnerability, engagement in yahoo-yahoo, progression into yahoo+ (ritualism), and recovery through rehabilitation. The model accounts for key factors such as recruitment rates, peer influence, the probability of transitioning to ritualistic practices, rehabilitation effectiveness, and relapse risks. A stability analysis of the equilibrium points, which are the yahoo-free and endemic, provides insight into long-term trends based on the basic reproduction number, R0R0, determining whether yahoo-yahoo (cybercrime) and yahoo+ (ritualism) persist or decline. Numerical simulations reveal potential strategies to reduce youth participation in these activities. Based on the model's findings, the study offers policy recommendations to support sustainable youth development and mitigate this growing societal threat.
References
[2] Influence of Peer Pressure on Cybercrime Among Youths. Gale Academic. Retrieved from https://go.gale.com (Accessed: 2023).
[3] ENACT Africa, "Yahoo Boys: Scammers dabble in dark magic." Retrieved from https://enactafrica.org (Accessed: 2023).
[4] Youth Rehabilitation Programs for Cybercrime in Nigeria. Retrieved from https://www.ngrehab.org (Accessed: 2023).
[5] Reports on Ritual Killings in Nigeria. Retrieved from https://www.ritualkillingsafrica.org (Accessed: 2023).
[6] Oladeji, S. O. (2021). The Menace of the Activities of Yahoo and Yahoo+ Boys in Nigeria and the Need for Government Intervention and Adult Education and Training. African Journal of Adult Learning, 1(1), 113-136.
[7] Olaiya, T. A., Lamidi, K. O., & Bello, M. A. (2020). Narrative of illicit money:'Yahoo'Boy (Format) of cyber scams and governance challenges in Africa. Global Journal of Interdisciplinary Social Sciences, 9(2), 3.
[8] Nwobodo, R. E. (2024). A Critical Examination of 'Yahoo-Yahoo' among Nigerian Youths as a Breach of African Culture and Values. International Journal of Religious and Cultural Practice, 9(2), 1-1.
[9] Suleiman, A. O. (2019). The impulsive upsurge of yahoo-yahoo in the 21st century in Nigeria: Islamic perspective. African Journal of Criminology and Justice Studies, 12(1), 16.
[10] Kolawole, T. O. (2020). Yahoo-Yahoo practice: A sociological commentary on the acceptability and celebrity of the actors in Nigeria. Covenant Journal of Business and Social Sciences.
[11] Akanle, O., & Shadare, B. R. (2019). Yahoo-plus in Ibadan: Meaning, Characterization and Strategies. International Journal of Cyber Criminology, 13(2).
[12] Melvin, A. O., & Ayotunde, T. (2011). Spirituality in cybercrime (Yahoo Yahoo) activities among youths in South West Nigeria. In Youth culture and net culture: Online social practices (pp. 357-380). IGI Global.
[13] Prabhakar, G., Ashwini, M., Meghana, M., & Shivani, K. (2024). Dynamic control of fraud information spreading in mobile social networks. International Journal of Mathematical Modeling Simulation and Applications, 16(1), 328-335.
[14] Lamido, B. B., Musa, S., Abdullahi, S. A., Awwal, A. M., & Mohammed, I. A. (2024). Mathematical Model on the Dynamics of Crimes of Murder Incorporating Amnesty and Rehabilitation as Control Strategies. International Journal of Development Mathematics (IJDM), 1(4), 074-089.
[15] Ayoade, A. A., Ogumiloro, O. M., & Thota, S. (2024). Mathematical modeling and analysis of the influence of family background on the spread of crime. Quality & Quantity, 1-22.
[16] Adeyemi, R. A., Mayaki, J., Zewotir, T. T., & Ramroop, S. (2021). Demography and Crime: A Spatial analysis of geographical patterns and risk factors of Crimes in Nigeria. Spatial Statistics, 41, 100485.
[17] Akanni, J. O., Akinpelu, F. O., Olaniyi, S., Oladipo, A. T., & Ogunsola, A. W. (2020). Modelling financial crime population dynamics: optimal control and cost-effectiveness analysis. International Journal of Dynamics and Control, 8, 531-544.
[18] Ogumiloro, O. M., Obayomi, A. A., & Agboola, G. O. (2024, April). The menace of ghost workers, job racketeers, and creators of online job offer scam sites on unemployment in Nigeria: a mathematical model analysis and control. In Operations Research Forum (Vol. 5, No. 2, p. 34). Cham: Springer International Publishing.
[19] Dietz, K. (1993). The estimation of the basic reproduction number for infectious diseases. Statistical methods in medical research, 2(1), 23-41.
[20] LaSalle, J. P. (1976). Stability theory and invariance principles. In Dynamical systems (pp. 211-222). Academic Press.
[21] Siegmund, S., Nowak, C., & Diblik, J. (2016). A generalized Picard-Lindelöf theorem. Electronic Journal of Qualitative Theory of Differential Equations, 2016(28), 1-8.
[22] Chikwendu, C. R., Eduiyowwiri, E. L. (2024). Application of Games Theory to Crime Investigation of suspects (A Case Study of Delta State Police Divisional Head-quarters, Abraka). International Journal of Mathematical Analysis and Optimization: Theory and Applications, 10(2), 71-78.
[23] Obuandike, G. N., Alhasan, J., & Abdullahi, M.B. (2017). Classification of Crime Data for Crime Control Using C4.5 and Naive Bayes Techniques. International Journal of Mathematical Analysis and Optimization: Theory and Applications, Vol 2017, pp. 139-153
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