The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor

Twitter has been prominently used among people especially during the electoral campaigns. Twitter helps the politicians to spread and share their political agenda as well as it helps citizens to communicate with them directly. This study aims to investigate the dynamics of information during elec...

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Main Author: Mohd Noor, Noor Syamsiah
Format: Research Reports
Language:English
Published: Faculty of Computer and Mathematical Sciences 2019
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/26165/1/PPb_NOOR%20SYAMSIAH%20MOHD%20NOOR%20CS%20R%2019_5.pdf
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author Mohd Noor, Noor Syamsiah
author_facet Mohd Noor, Noor Syamsiah
author_sort Mohd Noor, Noor Syamsiah
collection UITM
description Twitter has been prominently used among people especially during the electoral campaigns. Twitter helps the politicians to spread and share their political agenda as well as it helps citizens to communicate with them directly. This study aims to investigate the dynamics of information during electoral campaigns through Twitter from the mathematical point of view. This study employed an epidemiological model which is a system of differential equations known as Susceptible-Infected-Recovered (SIR) to describe how information spreads on Twitter during Malaysia’s 14th General Election. The model involves three state variables, which are active Twitter users (S), transmission node (I) and immune Twitter users (R). The data related to Malaysia’s 14th General Election which is before and after the election. The political parties and politicians as well as several popular tweets that turn out to be the trending topics during the electoral campaign have been collected. The influence of contact rate between active Twitter users and the transmission node as well as the influence of carrying capacity of the Twitter network on Malaysia’s 14th General Election was also analyzed. The results showed that the contact rate between active Twitter users and the transmission node as well as the carrying capacity of the Twitter network has significant influence in the electoral campaign.
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spelling uitm.eprints-61652019-11-25T06:46:04Z https://ir.uitm.edu.my/id/eprint/26165/ The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor Mohd Noor, Noor Syamsiah Information technology. Information systems Wireless communication systems. Mobile communication systems. Access control Twitter has been prominently used among people especially during the electoral campaigns. Twitter helps the politicians to spread and share their political agenda as well as it helps citizens to communicate with them directly. This study aims to investigate the dynamics of information during electoral campaigns through Twitter from the mathematical point of view. This study employed an epidemiological model which is a system of differential equations known as Susceptible-Infected-Recovered (SIR) to describe how information spreads on Twitter during Malaysia’s 14th General Election. The model involves three state variables, which are active Twitter users (S), transmission node (I) and immune Twitter users (R). The data related to Malaysia’s 14th General Election which is before and after the election. The political parties and politicians as well as several popular tweets that turn out to be the trending topics during the electoral campaign have been collected. The influence of contact rate between active Twitter users and the transmission node as well as the influence of carrying capacity of the Twitter network on Malaysia’s 14th General Election was also analyzed. The results showed that the contact rate between active Twitter users and the transmission node as well as the carrying capacity of the Twitter network has significant influence in the electoral campaign. Faculty of Computer and Mathematical Sciences 2019-10-15 Research Reports NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/26165/1/PPb_NOOR%20SYAMSIAH%20MOHD%20NOOR%20CS%20R%2019_5.pdf The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor. (2019) [Research Reports] (Unpublished)
spellingShingle Information technology. Information systems
Wireless communication systems. Mobile communication systems. Access control
Mohd Noor, Noor Syamsiah
The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor
title The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor
title_full The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor
title_fullStr The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor
title_full_unstemmed The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor
title_short The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor
title_sort susceptible infected recovered sir based model for the spreading of information during electoral campaign via twitter noor syamsiah mohd noor
topic Information technology. Information systems
Wireless communication systems. Mobile communication systems. Access control
url https://ir.uitm.edu.my/id/eprint/26165/1/PPb_NOOR%20SYAMSIAH%20MOHD%20NOOR%20CS%20R%2019_5.pdf
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