Ahmad, Akhlaq and Wahiddin, Mohamed Ridza and ., Md. Abdur Rahman and Afyoni, Imad and Sadiq, Bilal and Ur Rehman, Faizan and Ghani, Sohaib (2016) Scale free network analysis of a large crowd through their spatio-temporal activities. In: 2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2015), 8th-10th Dec. 2015, Kuala Lumpur.
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Abstract
Many real world complex networks from different domains share a common property that their node connectivity shows a scale-free power law behavior. In such networks, highly connected nodes (Hubs) are widely believed to have special importance in network management. In this paper, we discuss an environment whereby members of a very large crowd gathered to perform spatio-temporal activities, interact with different services and with one another to form a network of interest. The context of users is captured through smartphones and is processed by a cloud based framework to identify the aforementioned Hubs. We show that initial results exhibit Scale Free Network (SFN) behavior that can be further utilized for instant diffusion of important messages within the network through successive allocation of Hubs. We will focus on two basic network analysis metrics, in particular, degree of nodes and their weighted links. We will show that weighted links are closer to have a SFN behavior. We also plan to validate the effectiveness of our proposed SFN crowd behavior during next year Hajj, where millions of pilgrims will get together to perform religious rituals.
Item Type: | Conference or Workshop Item (Invited Papers) |
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Additional Information: | 3760/51274 |
Uncontrolled Keywords: | scale free network, large crowd, cloud-based data framework, spatio-temporal activities, Hajj |
Subjects: | T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
Depositing User: | Professor Dr Mohamed Ridza Wahiddin |
Date Deposited: | 13 Jul 2016 13:36 |
Last Modified: | 10 Oct 2017 14:30 |
URI: | http://irep.iium.edu.my/id/eprint/51274 |
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