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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	EISSN 2289-7402 E-ISBN 978-967-0910-33-8 Organized by: School Of Computing, Universiti Utara Malaysia.
Uncontrolled Keywords:	Twitter, data science, word cloud, RStudio, NodeXL, Tableau
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	26 Jul 2017 06:56
Last Modified:	26 Jul 2017 06:56
URI:	https://repo.uum.edu.my/id/eprint/22779

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