Robustness of dengue complex network under targeted versus random attack

Dengue virus infection is one of those epidemic diseases that require much consideration in order to save the humankind from its unsafe impacts. According to the World Health Organization (WHO), 3.6 billion individuals are at risk because of the dengue virus sickness. Researchers are striving to c...

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Main Authors: Malik, Hafiz Abid Mahmood, Abid, Faiza, Wahiddin, Mohamed Ridza, Bhatti, Zeeshan
Format: Article
Language:English
English
English
Published: Hindawi Publishing Corporation 2017
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Online Access:http://irep.iium.edu.my/54607/1/2515928_Complexity.pdf
http://irep.iium.edu.my/54607/7/54607_Robustness%20of%20Dengue%20Complex_WOS.pdf
http://irep.iium.edu.my/54607/13/Robustness%20of%20dengue%20complex%20network%20under%20targeted%20versus%20random%20attack.pdf
http://irep.iium.edu.my/54607/
https://www.hindawi.com/journals/complexity/2017/2515928/
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spelling my.iium.irep.546072020-07-14T08:00:01Z http://irep.iium.edu.my/54607/ Robustness of dengue complex network under targeted versus random attack Malik, Hafiz Abid Mahmood Abid, Faiza Wahiddin, Mohamed Ridza Bhatti, Zeeshan QA Mathematics Dengue virus infection is one of those epidemic diseases that require much consideration in order to save the humankind from its unsafe impacts. According to the World Health Organization (WHO), 3.6 billion individuals are at risk because of the dengue virus sickness. Researchers are striving to comprehend the dengue threat. This study is a little commitment to those endeavors. To observe the robustness of the dengue network, we uprooted the links between nodes randomly and targeted by utilizing different centrality measures. The outcomes demonstrated that 5% targeted attack is equivalent to the result of 65% random assault, which showed the topology of this complex network validated a scale-free network instead of random network. Four centrality measures (Degree, Closeness, Betweenness, and Eigenvector) have been ascertained to look for focal hubs. It has been observed through the results in this study that robustness of a node and links depends on topology of the network. The dengue epidemic network presented robust behaviour under random attack, and this network turned out to be more vulnerable when the hubs of higher degree have higher probability to fail. Moreover, representation of this network has been projected, and hub removal impact has been shown on the real map of Gombak (Malaysia). Hindawi Publishing Corporation 2017-01-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/54607/1/2515928_Complexity.pdf application/pdf en http://irep.iium.edu.my/54607/7/54607_Robustness%20of%20Dengue%20Complex_WOS.pdf application/pdf en http://irep.iium.edu.my/54607/13/Robustness%20of%20dengue%20complex%20network%20under%20targeted%20versus%20random%20attack.pdf Malik, Hafiz Abid Mahmood and Abid, Faiza and Wahiddin, Mohamed Ridza and Bhatti, Zeeshan (2017) Robustness of dengue complex network under targeted versus random attack. Complexity, 2017. pp. 1-12. ISSN 1076-2787 E-ISSN 1099-0526 https://www.hindawi.com/journals/complexity/2017/2515928/ 10.1155/2017/2515928
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic QA Mathematics
spellingShingle QA Mathematics
Malik, Hafiz Abid Mahmood
Abid, Faiza
Wahiddin, Mohamed Ridza
Bhatti, Zeeshan
Robustness of dengue complex network under targeted versus random attack
description Dengue virus infection is one of those epidemic diseases that require much consideration in order to save the humankind from its unsafe impacts. According to the World Health Organization (WHO), 3.6 billion individuals are at risk because of the dengue virus sickness. Researchers are striving to comprehend the dengue threat. This study is a little commitment to those endeavors. To observe the robustness of the dengue network, we uprooted the links between nodes randomly and targeted by utilizing different centrality measures. The outcomes demonstrated that 5% targeted attack is equivalent to the result of 65% random assault, which showed the topology of this complex network validated a scale-free network instead of random network. Four centrality measures (Degree, Closeness, Betweenness, and Eigenvector) have been ascertained to look for focal hubs. It has been observed through the results in this study that robustness of a node and links depends on topology of the network. The dengue epidemic network presented robust behaviour under random attack, and this network turned out to be more vulnerable when the hubs of higher degree have higher probability to fail. Moreover, representation of this network has been projected, and hub removal impact has been shown on the real map of Gombak (Malaysia).
format Article
author Malik, Hafiz Abid Mahmood
Abid, Faiza
Wahiddin, Mohamed Ridza
Bhatti, Zeeshan
author_facet Malik, Hafiz Abid Mahmood
Abid, Faiza
Wahiddin, Mohamed Ridza
Bhatti, Zeeshan
author_sort Malik, Hafiz Abid Mahmood
title Robustness of dengue complex network under targeted versus random attack
title_short Robustness of dengue complex network under targeted versus random attack
title_full Robustness of dengue complex network under targeted versus random attack
title_fullStr Robustness of dengue complex network under targeted versus random attack
title_full_unstemmed Robustness of dengue complex network under targeted versus random attack
title_sort robustness of dengue complex network under targeted versus random attack
publisher Hindawi Publishing Corporation
publishDate 2017
url http://irep.iium.edu.my/54607/1/2515928_Complexity.pdf
http://irep.iium.edu.my/54607/7/54607_Robustness%20of%20Dengue%20Complex_WOS.pdf
http://irep.iium.edu.my/54607/13/Robustness%20of%20dengue%20complex%20network%20under%20targeted%20versus%20random%20attack.pdf
http://irep.iium.edu.my/54607/
https://www.hindawi.com/journals/complexity/2017/2515928/
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