Exploratory data analysis of Twitter's rhythm in Malaysia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Twitter is a social media service which enable users to send and also received messages or post known as tweet. In the era of big data, one of the main source of data is from Twitter. However, this types of data usually are unstructured, massive and complicated to be analyzed. In this study, Twitter's data from Malaysian users were collected for one whole week. The objectives are to study the daily rhythm of Twitter usage in Malaysia and also to identify relationships between various types of Twitter users in Malaysia. Since the data are unstructured, pre-processing technique have to be done on the collected data which will enable the data to be analysed. The post-processed data were then analyze by using various statistical analysis tools. From the result of the analysis, we observed some interesting findings which are useful on the describing usage behaviour of Malaysian Twitter users.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018
EditorsShazalina Mat Zin, Nur' Afifah Rusdi, Khairul Anwar Bin Mohamad Khazali, Nooraihan Abdullah, Nurshazneem Roslan, Noor Alia Md Zain, Rasyida Md Saad, Nornadia Mohd Yazid
PublisherAmerican Institute of Physics Inc.
Volume2013
ISBN (Print)9780735417298
DOIs
Publication statusPublished - 2 Oct 2018
EventInternational Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018 - Kuala Lumpur, Malaysia
Duration: 24 Jul 201826 Jul 2018

Other

OtherInternational Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018
CountryMalaysia
CityKuala Lumpur
Period24/7/1826/7/18

Fingerprint

Malaysia
rhythm
preprocessing
messages
statistical analysis

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Abu Bakar, M. A., Mohd Ariff, N., & Hui, E. X. (2018). Exploratory data analysis of Twitter's rhythm in Malaysia. In S. M. Zin, N. A. Rusdi, K. A. B. M. Khazali, N. Abdullah, N. Roslan, N. A. M. Zain, R. M. Saad, ... N. M. Yazid (Eds.), Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018 (Vol. 2013). [020056] American Institute of Physics Inc.. https://doi.org/10.1063/1.5054255

Exploratory data analysis of Twitter's rhythm in Malaysia. / Abu Bakar, Mohd Aftar; Mohd Ariff, Noratiqah; Hui, Eu Xiu.

Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. ed. / Shazalina Mat Zin; Nur' Afifah Rusdi; Khairul Anwar Bin Mohamad Khazali; Nooraihan Abdullah; Nurshazneem Roslan; Noor Alia Md Zain; Rasyida Md Saad; Nornadia Mohd Yazid. Vol. 2013 American Institute of Physics Inc., 2018. 020056.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abu Bakar, MA, Mohd Ariff, N & Hui, EX 2018, Exploratory data analysis of Twitter's rhythm in Malaysia. in SM Zin, NA Rusdi, KABM Khazali, N Abdullah, N Roslan, NAM Zain, RM Saad & NM Yazid (eds), Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. vol. 2013, 020056, American Institute of Physics Inc., International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018, Kuala Lumpur, Malaysia, 24/7/18. https://doi.org/10.1063/1.5054255
Abu Bakar MA, Mohd Ariff N, Hui EX. Exploratory data analysis of Twitter's rhythm in Malaysia. In Zin SM, Rusdi NA, Khazali KABM, Abdullah N, Roslan N, Zain NAM, Saad RM, Yazid NM, editors, Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. Vol. 2013. American Institute of Physics Inc. 2018. 020056 https://doi.org/10.1063/1.5054255
Abu Bakar, Mohd Aftar ; Mohd Ariff, Noratiqah ; Hui, Eu Xiu. / Exploratory data analysis of Twitter's rhythm in Malaysia. Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. editor / Shazalina Mat Zin ; Nur' Afifah Rusdi ; Khairul Anwar Bin Mohamad Khazali ; Nooraihan Abdullah ; Nurshazneem Roslan ; Noor Alia Md Zain ; Rasyida Md Saad ; Nornadia Mohd Yazid. Vol. 2013 American Institute of Physics Inc., 2018.
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abstract = "Twitter is a social media service which enable users to send and also received messages or post known as tweet. In the era of big data, one of the main source of data is from Twitter. However, this types of data usually are unstructured, massive and complicated to be analyzed. In this study, Twitter's data from Malaysian users were collected for one whole week. The objectives are to study the daily rhythm of Twitter usage in Malaysia and also to identify relationships between various types of Twitter users in Malaysia. Since the data are unstructured, pre-processing technique have to be done on the collected data which will enable the data to be analysed. The post-processed data were then analyze by using various statistical analysis tools. From the result of the analysis, we observed some interesting findings which are useful on the describing usage behaviour of Malaysian Twitter users.",
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