Impact of Twitter on human interaction

The aim of this research is to examine whether Twitter impacts its users by using data science approach.A comparison between the data collection using Twitter Search API via RStudio and NodeXL has been made.After comparing the two methods, data collection using NodeXL is proven to be the better meth...

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Main Authors: Shaik Osman, Anis Naseerah, Syed Ahmad, Sharifah Sakinah, Basiron, Halizah
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:http://repo.uum.edu.my/22779/1/ICOCI%202017%2016-22.pdf
http://repo.uum.edu.my/22779/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID25-16-22e.pdf
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spelling my.uum.repo.227792017-07-26T06:56:54Z http://repo.uum.edu.my/22779/ Impact of Twitter on human interaction Shaik Osman, Anis Naseerah Syed Ahmad, Sharifah Sakinah Basiron, Halizah QA75 Electronic computers. Computer science The aim of this research is to examine whether Twitter impacts its users by using data science approach.A comparison between the data collection using Twitter Search API via RStudio and NodeXL has been made.After comparing the two methods, data collection using NodeXL is proven to be the better method for obtaining the sufficient information by comparing the durations of the Tweets retrieved within a fixed amount of Tweets, and limitation of the data that is allowed to be retrieved using the respective methods.The data collected from NodeXL is then used to generate word clouds by using the ‘wordcloud' package in RStudio to get the insights on what the user mostly Tweet about in the period.Universiti Teknikal Malaysia Melaka (UTeM) Twitter data is taken for comparing the two methods.The ones with the most words appear in the word cloud is preferred as it gives more information. Lastly, a statistical analysis is used to visualize the activeness of the user's timeline via Tableau so that more analyses can be done on how much the user interacts in Twitter. Rapid KL is one of the main public transport operators in Malaysia where they use Twitter as their official feed for news and info.Therefore, myrapidkl's Twitter timeline is being used as an experiment to examine the data from the Tweets statistically.The usage and interaction pattern is being analysed to know the activeness of user.This research could also be used to track children, missing person and criminals activities via social network.Apart from that, companies or organisations could use this research to analyse the responses to their products and services. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/22779/1/ICOCI%202017%2016-22.pdf Shaik Osman, Anis Naseerah and Syed Ahmad, Sharifah Sakinah and Basiron, Halizah (2017) Impact of Twitter on human interaction. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur. http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID25-16-22e.pdf
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Shaik Osman, Anis Naseerah
Syed Ahmad, Sharifah Sakinah
Basiron, Halizah
Impact of Twitter on human interaction
description The aim of this research is to examine whether Twitter impacts its users by using data science approach.A comparison between the data collection using Twitter Search API via RStudio and NodeXL has been made.After comparing the two methods, data collection using NodeXL is proven to be the better method for obtaining the sufficient information by comparing the durations of the Tweets retrieved within a fixed amount of Tweets, and limitation of the data that is allowed to be retrieved using the respective methods.The data collected from NodeXL is then used to generate word clouds by using the ‘wordcloud' package in RStudio to get the insights on what the user mostly Tweet about in the period.Universiti Teknikal Malaysia Melaka (UTeM) Twitter data is taken for comparing the two methods.The ones with the most words appear in the word cloud is preferred as it gives more information. Lastly, a statistical analysis is used to visualize the activeness of the user's timeline via Tableau so that more analyses can be done on how much the user interacts in Twitter. Rapid KL is one of the main public transport operators in Malaysia where they use Twitter as their official feed for news and info.Therefore, myrapidkl's Twitter timeline is being used as an experiment to examine the data from the Tweets statistically.The usage and interaction pattern is being analysed to know the activeness of user.This research could also be used to track children, missing person and criminals activities via social network.Apart from that, companies or organisations could use this research to analyse the responses to their products and services.
format Conference or Workshop Item
author Shaik Osman, Anis Naseerah
Syed Ahmad, Sharifah Sakinah
Basiron, Halizah
author_facet Shaik Osman, Anis Naseerah
Syed Ahmad, Sharifah Sakinah
Basiron, Halizah
author_sort Shaik Osman, Anis Naseerah
title Impact of Twitter on human interaction
title_short Impact of Twitter on human interaction
title_full Impact of Twitter on human interaction
title_fullStr Impact of Twitter on human interaction
title_full_unstemmed Impact of Twitter on human interaction
title_sort impact of twitter on human interaction
publishDate 2017
url http://repo.uum.edu.my/22779/1/ICOCI%202017%2016-22.pdf
http://repo.uum.edu.my/22779/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID25-16-22e.pdf
_version_ 1644283613937664000
score 13.160551