Social network analysis and visualization for general election in Malaysia

Social Media's presence is ubiquitous today. Obviously, we can see that internet and information has grown up to take part in people's lives. Internet platform is expected to play a bigger important role in politics, and this can increase the skills of politicians in seeking for vote. Thus...

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Main Author:	Wakimin, Nur Shaminie
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/78946/1/NurShaminieWakiminMFC2017.pdf
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id	my-utm-ep.78946
record_format	uketd_dc
spelling	my-utm-ep.789462018-09-19T05:12:48Z Social network analysis and visualization for general election in Malaysia 2017-11 Wakimin, Nur Shaminie QA75 Electronic computers. Computer science Social Media's presence is ubiquitous today. Obviously, we can see that internet and information has grown up to take part in people's lives. Internet platform is expected to play a bigger important role in politics, and this can increase the skills of politicians in seeking for vote. Thus, the main issue is about how this social media can be a factor that will transform the voting results on the networking site. Therefore, Social Network Analysis is proposed for the study. The purpose of the study is to identify the related variable for among different political parties, to develop and visualize social network graph based on graph theory concept and to predict the most voter based on the party leader using classifier method Logistic, Naive Bayes and J48. The dataset for the study has been crawling from social media such as Twitter and Facebook, starting from July 2017 until October 2017. Based on the outcome result, it can be concluded that the influence of candidates in a party has a great impact on seeking voters. This is proven through research made by observing the influence of BN party leader, Najib Razak, whose number of followers are high and thus winning the major voting. The margin of votes are significant compared to the other party leader such as Lim Kit Siang, DAP candidate, despite the frequent updates on the official website. Hence the number of follower that influencing voting made. 2017-11 Thesis http://eprints.utm.my/id/eprint/78946/ http://eprints.utm.my/id/eprint/78946/1/NurShaminieWakiminMFC2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110831 masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Wakimin, Nur Shaminie Social network analysis and visualization for general election in Malaysia
description	Social Media's presence is ubiquitous today. Obviously, we can see that internet and information has grown up to take part in people's lives. Internet platform is expected to play a bigger important role in politics, and this can increase the skills of politicians in seeking for vote. Thus, the main issue is about how this social media can be a factor that will transform the voting results on the networking site. Therefore, Social Network Analysis is proposed for the study. The purpose of the study is to identify the related variable for among different political parties, to develop and visualize social network graph based on graph theory concept and to predict the most voter based on the party leader using classifier method Logistic, Naive Bayes and J48. The dataset for the study has been crawling from social media such as Twitter and Facebook, starting from July 2017 until October 2017. Based on the outcome result, it can be concluded that the influence of candidates in a party has a great impact on seeking voters. This is proven through research made by observing the influence of BN party leader, Najib Razak, whose number of followers are high and thus winning the major voting. The margin of votes are significant compared to the other party leader such as Lim Kit Siang, DAP candidate, despite the frequent updates on the official website. Hence the number of follower that influencing voting made.
format	Thesis
qualification_level	Master's degree
author	Wakimin, Nur Shaminie
author_facet	Wakimin, Nur Shaminie
author_sort	Wakimin, Nur Shaminie
title	Social network analysis and visualization for general election in Malaysia
title_short	Social network analysis and visualization for general election in Malaysia
title_full	Social network analysis and visualization for general election in Malaysia
title_fullStr	Social network analysis and visualization for general election in Malaysia
title_full_unstemmed	Social network analysis and visualization for general election in Malaysia
title_sort	social network analysis and visualization for general election in malaysia
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2017
url	http://eprints.utm.my/id/eprint/78946/1/NurShaminieWakiminMFC2017.pdf
_version_	1747818110285512704

Social network analysis and visualization for general election in Malaysia

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