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Flight MH370 community structure

Studying community structure has proven efficient in understanding social forms of interactions among people, quantitatively investigating some of the well-known social theories and providing useful recommendations to users in communities based on common interests. Another important feature for comm...

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Main Authors: Al-Taie, Mohammed Zuhair, Shamsuddin, Siti Mariyam, Ahmad, Nor Bahiah
Format: Article
Language:English
Published: International Center for Scientific Research and Studies 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/52906/1/SitiMariyamShamsuddin2014_FlightMH370communitystructure.pdf
http://eprints.utm.my/id/eprint/52906/
http://www.home.ijasca.com/article-in-press/volume-6-2014/vol-6-2/
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id my.utm.52906
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spelling my.utm.529062018-07-19T07:18:49Z http://eprints.utm.my/id/eprint/52906/ Flight MH370 community structure Al-Taie, Mohammed Zuhair Shamsuddin, Siti Mariyam Ahmad, Nor Bahiah QA75 Electronic computers. Computer science Studying community structure has proven efficient in understanding social forms of interactions among people, quantitatively investigating some of the well-known social theories and providing useful recommendations to users in communities based on common interests. Another important feature for community structure is that it allows for classification of vertices according to their structural positions in clusters such that some vertices may have an important function of control and stability within the community while others may play an important role of leading relationships and exchanges between different communities. Studying the community structure of Flight MH370 will help us finding patterns that emerge from that structure which can lead to demystify some of the many ambiguous aspects of that flight. The aim of this study is to analyze the mesoscopic and macroscopic features of that community using social network analysis. Pajek, which is a program for social network analysis, is used to generate a series of social networks that represent the different network communities. International Center for Scientific Research and Studies 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/52906/1/SitiMariyamShamsuddin2014_FlightMH370communitystructure.pdf Al-Taie, Mohammed Zuhair and Shamsuddin, Siti Mariyam and Ahmad, Nor Bahiah (2014) Flight MH370 community structure. International Journal of Advances in Soft Computing and its Applications, 6 (2). ISSN 2074-8523 http://www.home.ijasca.com/article-in-press/volume-6-2014/vol-6-2/
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
Al-Taie, Mohammed Zuhair
Shamsuddin, Siti Mariyam
Ahmad, Nor Bahiah
Flight MH370 community structure
description Studying community structure has proven efficient in understanding social forms of interactions among people, quantitatively investigating some of the well-known social theories and providing useful recommendations to users in communities based on common interests. Another important feature for community structure is that it allows for classification of vertices according to their structural positions in clusters such that some vertices may have an important function of control and stability within the community while others may play an important role of leading relationships and exchanges between different communities. Studying the community structure of Flight MH370 will help us finding patterns that emerge from that structure which can lead to demystify some of the many ambiguous aspects of that flight. The aim of this study is to analyze the mesoscopic and macroscopic features of that community using social network analysis. Pajek, which is a program for social network analysis, is used to generate a series of social networks that represent the different network communities.
format Article
author Al-Taie, Mohammed Zuhair
Shamsuddin, Siti Mariyam
Ahmad, Nor Bahiah
author_facet Al-Taie, Mohammed Zuhair
Shamsuddin, Siti Mariyam
Ahmad, Nor Bahiah
author_sort Al-Taie, Mohammed Zuhair
title Flight MH370 community structure
title_short Flight MH370 community structure
title_full Flight MH370 community structure
title_fullStr Flight MH370 community structure
title_full_unstemmed Flight MH370 community structure
title_sort flight mh370 community structure
publisher International Center for Scientific Research and Studies
publishDate 2014
url http://eprints.utm.my/id/eprint/52906/1/SitiMariyamShamsuddin2014_FlightMH370communitystructure.pdf
http://eprints.utm.my/id/eprint/52906/
http://www.home.ijasca.com/article-in-press/volume-6-2014/vol-6-2/
_version_ 1643653283010576384
score 13.211869

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