Scale free network analysis of a large crowd through their spatio-temporal activities
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 envir...
| Main Authors: | , , , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
The Institute of Electrical and Electronics Engineers, Inc.
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/51274/ http://irep.iium.edu.my/51274/1/51274.pdf http://irep.iium.edu.my/51274/4/51274_Scale%20free%20network%20analysis%20of%20a%20large%20crowd%20through%20their_SCOPUS.pdf |
| _version_ | 1848783821904805888 |
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| author | Ahmad, Akhlaq Wahiddin, Mohamed Ridza ., Md. Abdur Rahman Afyoni, Imad Sadiq, Bilal Ur Rehman, Faizan Ghani, Sohaib |
| author_facet | Ahmad, Akhlaq Wahiddin, Mohamed Ridza ., Md. Abdur Rahman Afyoni, Imad Sadiq, Bilal Ur Rehman, Faizan Ghani, Sohaib |
| author_sort | Ahmad, Akhlaq |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T16:27:27Z |
| format | Proceeding Paper |
| id | iium-51274 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:27:27Z |
| publishDate | 2016 |
| publisher | The Institute of Electrical and Electronics Engineers, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-512742017-10-10T06:30:06Z http://irep.iium.edu.my/51274/ Scale free network analysis of a large crowd through their spatio-temporal activities Ahmad, Akhlaq Wahiddin, Mohamed Ridza ., Md. Abdur Rahman Afyoni, Imad Sadiq, Bilal Ur Rehman, Faizan Ghani, Sohaib T58.5 Information technology 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. The Institute of Electrical and Electronics Engineers, Inc. 2016 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/51274/1/51274.pdf application/pdf en http://irep.iium.edu.my/51274/4/51274_Scale%20free%20network%20analysis%20of%20a%20large%20crowd%20through%20their_SCOPUS.pdf 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. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7478730&filter%3DAND%28p_IS_Number%3A7478698%29%26pageNumber%3D2 |
| spellingShingle | T58.5 Information technology Ahmad, Akhlaq Wahiddin, Mohamed Ridza ., Md. Abdur Rahman Afyoni, Imad Sadiq, Bilal Ur Rehman, Faizan Ghani, Sohaib Scale free network analysis of a large crowd through their spatio-temporal activities |
| title | Scale free network analysis of a large crowd through their
spatio-temporal activities |
| title_full | Scale free network analysis of a large crowd through their
spatio-temporal activities |
| title_fullStr | Scale free network analysis of a large crowd through their
spatio-temporal activities |
| title_full_unstemmed | Scale free network analysis of a large crowd through their
spatio-temporal activities |
| title_short | Scale free network analysis of a large crowd through their
spatio-temporal activities |
| title_sort | scale free network analysis of a large crowd through their
spatio-temporal activities |
| topic | T58.5 Information technology |
| url | http://irep.iium.edu.my/51274/ http://irep.iium.edu.my/51274/ http://irep.iium.edu.my/51274/1/51274.pdf http://irep.iium.edu.my/51274/4/51274_Scale%20free%20network%20analysis%20of%20a%20large%20crowd%20through%20their_SCOPUS.pdf |