Analysing the virality of marketing via youtube using susceptible-infected-recovered [SIR] Model / Noor Hazlina Ahmad

Ahmad, Noor Hazlina (2021) Analysing the virality of marketing via youtube using susceptible-infected-recovered [SIR] Model / Noor Hazlina Ahmad. [Student Project] (Unpublished)


YouTube is a famous online video platform that are using worldwide with many purposes. People can record and upload videos in YouTube that can be watched by all of the people in the world. There are many features on YouTube that can make it easier for people to start a video. There are variety of YouTube video content and one of them is marketing video. Marketers can use YouTube to produce marketing video and promote their products and business. The main objective in this study is to examine the spreading of two different product marketing videos using YouTube. The sub-objectives of the study are to formulate model for the spread of online video marketing YouTube based on an epidemiological model which is Susceptible-Infected- Recovered (SIR) model. In this study, two types of SIR model which is SIR model without demography and SIR model with demography were considered. The variable in this study is number of YouTube user who exposed to the video (Susceptible), the YouTube user who views, likes and comments the video (Infected) and the YouTube user stop viewing the video (Recovered). Video of MUA Bellaz cosmetic products and Naelofar Hijab new collection were chosen as case studies. The data were observed for 9 days after the video is posted for both marketing-related videos. The number of views, number of likes and number of comments were collected in this study to construct the model. The result showed that the content of the video affects the video's dissemination.


Item Type: Student Project
Email / ID Num.
Ahmad, Noor Hazlina
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 > Faculty of Computer and Mathematical Sciences
Programme: Management Mathematics
Keywords: Viral Marketing ; Online Marketing, YouTube ; Susceptible-Infected-Recovered Model ; SIR Model
Date: 4 August 2021
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