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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| Format: | Research Reports |
| Language: | English |
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Faculty of Computer and Mathematical Sciences
2019
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| Online Access: | http://ir.uitm.edu.my/id/eprint/26165/ http://ir.uitm.edu.my/id/eprint/26165/1/PPb_NOOR%20SYAMSIAH%20MOHD%20NOOR%20CS%20R%2019_5.pdf |
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uitm-26165 |
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| recordtype |
eprints |
| spelling |
uitm-261652019-11-25T06:46:04Z http://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 http://ir.uitm.edu.my/id/eprint/26165/1/PPb_NOOR%20SYAMSIAH%20MOHD%20NOOR%20CS%20R%2019_5.pdf Mohd Noor, Noor Syamsiah (2019) The susceptible-infected-recovered (SIR) based model for the spreading of information during electoral campaign via twitter / Noor Syamsiah Mohd Noor. [Research Reports] (Unpublished) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Information technology. Information systems Wireless communication systems. Mobile communication systems. Access control |
| 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 |
| 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. |
| format |
Research Reports |
| author |
Mohd Noor, Noor Syamsiah |
| author_facet |
Mohd Noor, Noor Syamsiah |
| author_sort |
Mohd Noor, Noor Syamsiah |
| title |
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_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_sort |
susceptible-infected-recovered (sir) based model for the spreading of information during electoral campaign via twitter / noor syamsiah mohd noor |
| publisher |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2019 |
| url |
http://ir.uitm.edu.my/id/eprint/26165/ http://ir.uitm.edu.my/id/eprint/26165/1/PPb_NOOR%20SYAMSIAH%20MOHD%20NOOR%20CS%20R%2019_5.pdf |
| first_indexed |
2023-09-18T23:16:19Z |
| last_indexed |
2023-09-18T23:16:19Z |
| _version_ |
1777419135991414784 |