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Visualization and centrality measurement of social network analysis

Social networks have increased in popularity and play an important role in people's life nowadays. Hundreds of millions of people participate in social networks and the number is growing day by day. Social networks have become a useful tool and help people in every field of life such as in educ...

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Main Authors: Abdul Rahim, Nor Amalina, Sulaiman, Sarina, Mohd. Hashim, Siti Zaiton, Ahmad, Nor Bahiah
Format: Article
Language:English
Published: Penerbit UTM 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/70902/1/SarinaSulaiman2016_Visualizationandcentralitymeasurement.pdf
http://eprints.utm.my/id/eprint/70902/
https://dx.doi.org/10.11113/jt.v78.9543
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spelling my.utm.709022018-08-29T08:29:44Z http://eprints.utm.my/id/eprint/70902/ Visualization and centrality measurement of social network analysis Abdul Rahim, Nor Amalina Sulaiman, Sarina Mohd. Hashim, Siti Zaiton Ahmad, Nor Bahiah QA75 Electronic computers. Computer science Social networks have increased in popularity and play an important role in people's life nowadays. Hundreds of millions of people participate in social networks and the number is growing day by day. Social networks have become a useful tool and help people in every field of life such as in education, politics and business. Social networks give people the idea of knowing and interacting with each other, experiencing the power of sharing and being connected with people from different places and countries. The purpose of this study is to analyse the behaviour of actors in a network, the graph and the relationship between actors in social networks. The researcher expects to use the technique of Social Network Analysis with Organisation Risk Analyser (ORA) tool to analyse the data. Three different types of dataset are analysed in the form of network visualisation and centrality measurement. The results reveal the hidden relationships and clusters in the network, and indicate which nodes provide better performance for each centrality measure Penerbit UTM 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/70902/1/SarinaSulaiman2016_Visualizationandcentralitymeasurement.pdf Abdul Rahim, Nor Amalina and Sulaiman, Sarina and Mohd. Hashim, Siti Zaiton and Ahmad, Nor Bahiah (2016) Visualization and centrality measurement of social network analysis. Jurnal Teknologi, 78 (8-2). pp. 65-74. ISSN 0127-9696 https://dx.doi.org/10.11113/jt.v78.9543 DOI: 10.11113/jt.v78.9543
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abdul Rahim, Nor Amalina
Sulaiman, Sarina
Mohd. Hashim, Siti Zaiton
Ahmad, Nor Bahiah
Visualization and centrality measurement of social network analysis
description Social networks have increased in popularity and play an important role in people's life nowadays. Hundreds of millions of people participate in social networks and the number is growing day by day. Social networks have become a useful tool and help people in every field of life such as in education, politics and business. Social networks give people the idea of knowing and interacting with each other, experiencing the power of sharing and being connected with people from different places and countries. The purpose of this study is to analyse the behaviour of actors in a network, the graph and the relationship between actors in social networks. The researcher expects to use the technique of Social Network Analysis with Organisation Risk Analyser (ORA) tool to analyse the data. Three different types of dataset are analysed in the form of network visualisation and centrality measurement. The results reveal the hidden relationships and clusters in the network, and indicate which nodes provide better performance for each centrality measure
format Article
author Abdul Rahim, Nor Amalina
Sulaiman, Sarina
Mohd. Hashim, Siti Zaiton
Ahmad, Nor Bahiah
author_facet Abdul Rahim, Nor Amalina
Sulaiman, Sarina
Mohd. Hashim, Siti Zaiton
Ahmad, Nor Bahiah
author_sort Abdul Rahim, Nor Amalina
title Visualization and centrality measurement of social network analysis
title_short Visualization and centrality measurement of social network analysis
title_full Visualization and centrality measurement of social network analysis
title_fullStr Visualization and centrality measurement of social network analysis
title_full_unstemmed Visualization and centrality measurement of social network analysis
title_sort visualization and centrality measurement of social network analysis
publisher Penerbit UTM
publishDate 2016
url http://eprints.utm.my/id/eprint/70902/1/SarinaSulaiman2016_Visualizationandcentralitymeasurement.pdf
http://eprints.utm.my/id/eprint/70902/
https://dx.doi.org/10.11113/jt.v78.9543
_version_ 1643656114330402816
score 13.211869

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