Robustness of dengue complex network under targeted versus random attack

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

	PDF (open access) - Published Version Restricted to Repository staff only Download (3MB) | Request a copy
Preview	PDF (WOS) - Supplemental Material Download (176kB) | Preview
Preview	PDF (SCOPUS) - Supplemental Material Download (199kB) | Preview

Abstract

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).

Item Type:	Article (Journal)
Additional Information:	3760/54607
Uncontrolled Keywords:	dengue virus, attack, random network, complex network
Subjects:	Q Science > QA Mathematics
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:	17 Jan 2017 16:06
Last Modified:	14 Jul 2020 16:00
URI:	http://irep.iium.edu.my/id/eprint/54607

Actions (login required)

View Item