The susceptible-infected-recovered (SIR) model for viral marketing

Viral marketing is a marketing strategy utilizes social media to spread information about a product or services provided. It is the most powerful way to share information in a short amount of time. The objective of this study is to investigate the dynamic of viral marketing within a time duration in...

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Bibliographic Details
Published in:AIP Conference Proceedings
Main Author: Ismail S.S.; Akil K.A.K.; Chulan M.; Sharif N.
Format: Conference paper
Language:English
Published: American Institute of Physics Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036655908&doi=10.1063%2f1.5012164&partnerID=40&md5=712d37c7a4a97b57bd9ddaaddb4cc530
id 2-s2.0-85036655908
spelling 2-s2.0-85036655908
Ismail S.S.; Akil K.A.K.; Chulan M.; Sharif N.
The susceptible-infected-recovered (SIR) model for viral marketing
2017
AIP Conference Proceedings
1905

10.1063/1.5012164
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036655908&doi=10.1063%2f1.5012164&partnerID=40&md5=712d37c7a4a97b57bd9ddaaddb4cc530
Viral marketing is a marketing strategy utilizes social media to spread information about a product or services provided. It is the most powerful way to share information in a short amount of time. The objective of this study is to investigate the dynamic of viral marketing within a time duration in the point of view of mathematics. This study used the epidemiological model known as Susceptible-Infected-Recovered (SIR). The model consists of a system of three differential equations with three state variables namely susceptible (S), infected (I) and recovered (R). It considers a case of SIR model with demography. Numerical experiments have been performed. The results show that viral marketing reaches its peak within two days. The online messages shared will become higher if the initial number of the infected individual has been increased. © 2017 Author(s).
American Institute of Physics Inc.
0094243X
English
Conference paper

author Ismail S.S.; Akil K.A.K.; Chulan M.; Sharif N.
spellingShingle Ismail S.S.; Akil K.A.K.; Chulan M.; Sharif N.
The susceptible-infected-recovered (SIR) model for viral marketing
author_facet Ismail S.S.; Akil K.A.K.; Chulan M.; Sharif N.
author_sort Ismail S.S.; Akil K.A.K.; Chulan M.; Sharif N.
title The susceptible-infected-recovered (SIR) model for viral marketing
title_short The susceptible-infected-recovered (SIR) model for viral marketing
title_full The susceptible-infected-recovered (SIR) model for viral marketing
title_fullStr The susceptible-infected-recovered (SIR) model for viral marketing
title_full_unstemmed The susceptible-infected-recovered (SIR) model for viral marketing
title_sort The susceptible-infected-recovered (SIR) model for viral marketing
publishDate 2017
container_title AIP Conference Proceedings
container_volume 1905
container_issue
doi_str_mv 10.1063/1.5012164
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036655908&doi=10.1063%2f1.5012164&partnerID=40&md5=712d37c7a4a97b57bd9ddaaddb4cc530
description Viral marketing is a marketing strategy utilizes social media to spread information about a product or services provided. It is the most powerful way to share information in a short amount of time. The objective of this study is to investigate the dynamic of viral marketing within a time duration in the point of view of mathematics. This study used the epidemiological model known as Susceptible-Infected-Recovered (SIR). The model consists of a system of three differential equations with three state variables namely susceptible (S), infected (I) and recovered (R). It considers a case of SIR model with demography. Numerical experiments have been performed. The results show that viral marketing reaches its peak within two days. The online messages shared will become higher if the initial number of the infected individual has been increased. © 2017 Author(s).
publisher American Institute of Physics Inc.
issn 0094243X
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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