Development of social network analysis platform

The social network is a platform where a big number of data can be collected as the number of social network users grows each day. Many data scientists are investigating the correlation of those data collected from different users and different locations on the social network. In this research, a pl...

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Main Authors: Adnan, Sumayyah, Gunawan, Teddy Surya, Nasir, Haidawati, Kartiwi, Mira
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2019
Subjects:
Online Access:http://irep.iium.edu.my/80433/1/80433%20Development%20of%20Social%20Network%20Analysis%20Platform.pdf
http://irep.iium.edu.my/80433/2/80433%20Development%20of%20Social%20Network%20Analysis%20Platform%20SCOPUS.pdf
http://irep.iium.edu.my/80433/
https://ieeexplore.ieee.org/document/9057327
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spelling my.iium.irep.804332020-07-13T04:12:26Z http://irep.iium.edu.my/80433/ Development of social network analysis platform Adnan, Sumayyah Gunawan, Teddy Surya Nasir, Haidawati Kartiwi, Mira T Technology (General) The social network is a platform where a big number of data can be collected as the number of social network users grows each day. Many data scientists are investigating the correlation of those data collected from different users and different locations on the social network. In this research, a platform is developed to stream the Twitter APIs to study the social network analysis on Twitter. This platform development process will be divided into three process, including extraction, classification and application process. This streaming process will be done using Tweepy, an open source Python library for Twitter API that is used in the Twitter data mining process. The data extracted from this process will later be visualized in a visualization tool for social network analysis. This platform is intentionally created to aid the user to analyze the data extracted from Twitter with a simple application. The sentiment analysis from various tweets will be analyzed using machine learning tool and visualized in graph for better visualization. IEEE 2019 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/80433/1/80433%20Development%20of%20Social%20Network%20Analysis%20Platform.pdf application/pdf en http://irep.iium.edu.my/80433/2/80433%20Development%20of%20Social%20Network%20Analysis%20Platform%20SCOPUS.pdf Adnan, Sumayyah and Gunawan, Teddy Surya and Nasir, Haidawati and Kartiwi, Mira (2019) Development of social network analysis platform. In: 2019 IEEE 6th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2019), 27 - 29 Aug 2019, Kuala Lumpur, Malaysia. https://ieeexplore.ieee.org/document/9057327 10.1109/ICSIMA47653.2019.9057327
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Adnan, Sumayyah
Gunawan, Teddy Surya
Nasir, Haidawati
Kartiwi, Mira
Development of social network analysis platform
description The social network is a platform where a big number of data can be collected as the number of social network users grows each day. Many data scientists are investigating the correlation of those data collected from different users and different locations on the social network. In this research, a platform is developed to stream the Twitter APIs to study the social network analysis on Twitter. This platform development process will be divided into three process, including extraction, classification and application process. This streaming process will be done using Tweepy, an open source Python library for Twitter API that is used in the Twitter data mining process. The data extracted from this process will later be visualized in a visualization tool for social network analysis. This platform is intentionally created to aid the user to analyze the data extracted from Twitter with a simple application. The sentiment analysis from various tweets will be analyzed using machine learning tool and visualized in graph for better visualization.
format Conference or Workshop Item
author Adnan, Sumayyah
Gunawan, Teddy Surya
Nasir, Haidawati
Kartiwi, Mira
author_facet Adnan, Sumayyah
Gunawan, Teddy Surya
Nasir, Haidawati
Kartiwi, Mira
author_sort Adnan, Sumayyah
title Development of social network analysis platform
title_short Development of social network analysis platform
title_full Development of social network analysis platform
title_fullStr Development of social network analysis platform
title_full_unstemmed Development of social network analysis platform
title_sort development of social network analysis platform
publisher IEEE
publishDate 2019
url http://irep.iium.edu.my/80433/1/80433%20Development%20of%20Social%20Network%20Analysis%20Platform.pdf
http://irep.iium.edu.my/80433/2/80433%20Development%20of%20Social%20Network%20Analysis%20Platform%20SCOPUS.pdf
http://irep.iium.edu.my/80433/
https://ieeexplore.ieee.org/document/9057327
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score 13.211869