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
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Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | community detection, community structure, flight MH370, graph theory, Pajek, SNA, social network analysis |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 52906 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 01 Feb 2016 03:54 |
Last Modified: | 19 Jul 2018 07:18 |
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