Analysis of Airport Network in Pakistan Utilizing Complex Network Approach

Malik, Hafiz Abid Mahmood; Mahmood, Nadeem; Hammal, Mir; Rziwan, Kashif; Abid, Faiza

doi:10.14569/ijacsa.2019.0100153

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…The weighted Newman approach is utilized to calculate closeness centrality, which is displayed in Figure 10 [15,22,23]. Eq.…”

Section: Centralization Approaches Considered For the Dengue Networkmentioning

confidence: 99%

Network Formation and Analysis of Dengue Complex Network

Malik¹

2023

Infectious Diseases

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Several efforts have been made and are constantly being made to keep the Aedes aegypti virus under control. Numerous scholars are involved in the study of medicine, while others are working in computer science and mathematics to model the spread of this disease. This study will help to comprehend how this epidemic sickness behaves. A complex network has been established from the complex dengue phenomenon. We have evaluated dengue network topology by pondering scale-free network properties. The network’s resilience in tracking the dengue epidemic is measured by systematically removing nodes and links. The primary hubs of this network are emphasized, and the vulnerability of the network structure has been examined through an in-depth investigation of the dengue virus’s spreading behavior. Understanding the intricate web of dengue outbreaks relies heavily on geographic representation. The applied method on the dengue epidemic network and the results will be added as scientific additions to the literature on complex networks. Different network analysis metrics have been applied (closeness centrality, betweenness centrality, eigenvector centrality, network density), and the network’s stability has been evaluated. This network is extremely vulnerable to targeted attacks; results showed that after removing 8% of focal hubs, 34% of the network is destroyed.

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“…The weighted Newman approach is utilized to calculate closeness centrality, which is displayed in Figure 10 [15,22,23]. Eq.…”

Section: Centralization Approaches Considered For the Dengue Networkmentioning

confidence: 99%

Network Formation and Analysis of Dengue Complex Network

Malik¹

2023

Infectious Diseases

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“…Results on the Chinese airport network (199 nodes) and the US airport network (332 nodes and 2126 links) were reported. [39] Critical nodes in the Pakistan airport network (44 airports) were identified, mainly based on degree, closeness, and betweenness.…”

Section: Clemente Et Al 2019 [37]mentioning

confidence: 99%

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

Sun

Wandelt

2021

Sustainability

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Air transportation systems are an important part of the critical infrastructure in our connected world. Accordingly, a better understanding and improvements in the resilience of the overall air transportation system are essential to the well-functioning of our society and overall sustainability of human beings. In the literature, network science is increasingly used to better understand the resilience dynamics of air transportation. Given the wide application of tools for network science and the importance of designing resilient air transportation systems, a rich body of studies has emerged in recent years. This review paper synthesizes the related literature that has been published throughout the last 15 years regarding the robustness of air transportation systems. The contributions of this work consist of two major elements. The first part provides a comprehensive discussion and cross-comparison of the reported results. We cover several major topics, including node importance identification, failure versus attack profiles, recovery and improvement techniques, and networks of networks approaches. The second part of this paper complements the review of aggregated findings by elaborating on a future agenda for robust air transportation research. Our survey-style overview hopefully contributes toward a better understanding of the state of the art in this research area, and, in turn, to the improvement of future air transportation resilience and sustainability.

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“…Throughout published literature, the estimation of shortest path was based on of the following factors: 1) the number of links needed in order to travel between two airports (e.g., Paleari et al, 2010;Dai et al, 2018;Ren et al, 2019); 2) the travel distance (e.g., Sun et al, 2017;Wandelt et al, 2019); 3) the travel time (e.g., Zhu et al, 2018); or 4) the travel velocity (e.g., Zhu et al, 2018). Whereas link weight estimation was based on flight frequency (e.g., Hossain and Alam, 2017;Malik et al, 2019) and flight capacity (e.g., Muriel-Villegas et al, 2016;Zhu et al, 2018;Hossain and Alam, 2017). However, none of the previous studies considered the combinations of all such factors in influencing the ATIN robustness.…”

Section: Scope and Objectivesmentioning

confidence: 99%