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 com...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/2515928 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832562787918807040 |
---|---|
author | Hafiz Abid Mahmood Malik Faiza Abid Mohamed Ridza Wahiddin Zeeshan Bhatti |
author_facet | Hafiz Abid Mahmood Malik Faiza Abid Mohamed Ridza Wahiddin Zeeshan Bhatti |
author_sort | Hafiz Abid Mahmood Malik |
collection | DOAJ |
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 |
id | doaj-art-13fb69fbc4164d57ac7075cae18abf15 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-13fb69fbc4164d57ac7075cae18abf152025-02-03T01:21:38ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/25159282515928Robustness of Dengue Complex Network under Targeted versus Random AttackHafiz Abid Mahmood Malik0Faiza Abid1Mohamed Ridza Wahiddin2Zeeshan Bhatti3Department of Computer Science, Faculty of Information and Communication Technology, International Islamic University, Kuala Lumpur, MalaysiaDepartment of Computer Science, Faculty of Computer Science, King Khalid University, Abha, Saudi ArabiaDepartment of Computer Science, Faculty of Information and Communication Technology, International Islamic University, Kuala Lumpur, MalaysiaDepartment of Computer Science, Faculty of Information and Communication Technology, International Islamic University, Kuala Lumpur, MalaysiaDengue 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).http://dx.doi.org/10.1155/2017/2515928 |
spellingShingle | Hafiz Abid Mahmood Malik Faiza Abid Mohamed Ridza Wahiddin Zeeshan Bhatti Robustness of Dengue Complex Network under Targeted versus Random Attack Complexity |
title | 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_short | Robustness of Dengue Complex Network under Targeted versus Random Attack |
title_sort | robustness of dengue complex network under targeted versus random attack |
url | http://dx.doi.org/10.1155/2017/2515928 |
work_keys_str_mv | AT hafizabidmahmoodmalik robustnessofdenguecomplexnetworkundertargetedversusrandomattack AT faizaabid robustnessofdenguecomplexnetworkundertargetedversusrandomattack AT mohamedridzawahiddin robustnessofdenguecomplexnetworkundertargetedversusrandomattack AT zeeshanbhatti robustnessofdenguecomplexnetworkundertargetedversusrandomattack |