Susceptible-Infected-Recovered (SIR) model to measure the virality of breaking news on Facebook / Noorzila Sharif ... [et al.]

Sharif, Noorzila and Bidin, Jasmani and Ku Akil, Ku Azlina and Rizan, Nur Natasha Arisha (2021) Susceptible-Infected-Recovered (SIR) model to measure the virality of breaking news on Facebook / Noorzila Sharif ... [et al.]. Journal of Computing Research and Innovation (JCRINN), 6 (2): 6. pp. 53-63. ISSN 2600-8793

Abstract

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Sharif, Noorzila
jasmani@uitm.edu.my
Bidin, Jasmani
UNSPECIFIED
Ku Akil, Ku Azlina
UNSPECIFIED
Rizan, Nur Natasha Arisha
UNSPECIFIED
Subjects: H Social Sciences > HM Sociology > Groups and organizations > Social groups. Group dynamics > Social networks > Online social networks
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Prediction analysis
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus
Journal or Publication Title: Journal of Computing Research and Innovation (JCRINN)
UiTM Journal Collections: UiTM Journal > Journal of Computing Research and Innovation (JCRINN)
ISSN: 2600-8793
Volume: 6
Number: 2
Page Range: pp. 53-63
Keywords: Social media, Facebook, Susceptible-Infected-Recovered , virality
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/60158
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