Susceptible-Infected-Recovered (SIR) Model to Measure the Virality of Breaking News on Facebook

Susceptible-Infected-Recovered (SIR) Model to Measure the Virality of Breaking News on Facebook


  • Noorzila Sharif Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Jasmani Bidin Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Ku Azlina Ku Akil Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Nur Natasha Arisha Rizan Universiti Teknologi MARA, Perlis Branch, Arau Campus



social media, Facebook, Susceptible-Infected-Recovered , virality


Susceptible-Infected-Recovered (SIR) model has been used worldwide to measure the spreading of covid-19 in the community. Apparently, the spreading nature of the covid-19 virus and any other contagious disease is quite similar with the spreading of breaking news through social media. This study was carried out to analyze the dynamics spread of one selected news content on Facebook using SIR models with demography and without demography. From the news, the numbers of likes, comments, shares, views as well as the number of followers of the Facebook account have been collected to calculate reproduction number. For SIR without demography, the reproduction number (Ro) is 1.69, indicates that for every 100 Facebook users who received the news, they will probably share the news to other 169 Facebook users. The value of R0 is slightly lower (1.58) for SIR with demography. This preliminary study could be extended by considering a lot more observations and by testing different parameters value due to any further action imposed after the news spreading out.


Download data is not yet available.


Al-Rawi, A. (2019). Viral news on social media. Digital journalism, 7(1), 63-79.

Asmaidi, Siantura, P., & Nugrahani, E. H. (2014). A SIR mathematical model of dengue transmission and its simulation. IQSR Journal of Mathematics, 10(2), 56-65.

Alanazi, S. A., Kamruzzaman, M. M., Alruwaili, M., Alshammari, N., Alqahtani, S. A., & Karime, A. (2020). Measuring and preventing COVID-19 using the SIR model and machine learning in Smart Health Care. Journal of Healthcare Engineering, Vol. 2020, Article ID 8857346.

Baek, K., Holton, A., Harp, D., & Yaschur, C. (2011). The links that bind: Uncovering novel motivations for linking on Facebook. Computers in Human Behavior, 27(6), 2243-2248.

Chan, A. K. M., Nickson, C. P., Rudolph, J. W., Lee, A., & Joynt, G. M. (2020). Social media for rapid knowledge dissemination: Early experience from COVID-19 pandemic. Anaesthesia.

Cooper, I., Mondal, A., & Antonopoulos,C. G. (2020). A SIR model assumption for the spread of COVID-19 in different communities. Chaos, solitons, and fractals, 139, 110057.

Glynn, C. J., Huge, M. E., & Hoffman, L. H. (2012). All the news that’s fit to post: A profile of news use on social networking sites. Computers in Human Behavior, 28(1), 113-119.

Hum, N. J., Chamberlin, P. E., Hambright, B. L., Portwood, A. C., Schat, A. C., & Bevan, J. L. (2011). A picture is worth a thousand words: A content analysis of Facebook profile photographs. Computers in Human Behavior, 27(5), 1828-1833.

Ji, S., Lü, L., Yeung, C. H., & Hu, Y. (2017). Effective spreading from multiple leaders identified by percolation in the susceptible-infected-recovered (SIR) model. New Journal of Physics, 19(7), 073020.

Kalu, A. U., & Inyama, S.C. Mathematical model of the role of vaccination and treatment on the transmission dynamics of tuberculosis. Generation Mathematics Notes, 11, 10-23.

Khurana, P., & Kumar, D. (2018, April). Sir Model for Fake News Spreading Through Whatsapp. In Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT) (pp. 26-27).

Rodrigues, H. S. (2016). Application of SIR epidemiological model: new trends. arXiv preprint arXiv:1611.02565.

Side, S., & Salmi, M. N. (2013). A SIR model for spread of dengue fever disease (Simulation for South Sulawesi, Indonesia and Selangor, Malaysia). World Journal of Modelling and Simulation, 9(2), 96-105.

Side, S., Sanusi, W., Aidid, M. K., & Sidjara, S. (2017). Global stability of SIR and SIER model for tuberculosis disease transmission with Lyapunov function method. Asian Journal of Applied Sciences, 9(3), 87-96.

Statista (2019). Statistics.

Statista (2019). Statistics.

Zaman, G. & Jung, I.H. (2007, December). Stability techniques in SIR epidemic models. In Proceedings in Applied Mathematics and Mechanics, Vol 7, No 1, pp 20300632030064. Berlin: WILEY-VCH Verlag.




How to Cite

Sharif, N. ., Bidin, J., Ku Akil, K. A. ., & Rizan, N. N. A. . (2021). Susceptible-Infected-Recovered (SIR) Model to Measure the Virality of Breaking News on Facebook . Journal of Computing Research and Innovation, 6(2), 55–65.



General Computing

Most read articles by the same author(s)