Determination of Critical Edges in Air Route Network Using Modified Weighted Sum Method and Grey Relational Analysis

The air transportation system has attracted due attention from researchers due to its fast expansion over the last decade. Past research has focused on air transportation networks (ATN), but this work considers the resilience of the air route network. This research work proposes a modified approach based on GRA-WSM, named MA (Modified Approach based on GRA-WSM) for the identification of critical edges that form the backbone of the Chinese air route network. MA is a two-step process: Initially, important nodes are identified using the proposed GRA-WSM, and second, a novel approach is used for the computation of critical edges. Previously, researchers have used edge betweenness centrality measure to identify vital edges. But it took into account the global information of a node. This research work considers different centrality measures as the multi-attribute of the network, to take advantage of each centrality measure. The proposed MA approach aims to minimize the robustness of the network after the removal of some edges and the result is the set of critical edges. The critical edges found by the proposed MA approach are different from the edges that are topologically more important. These findings provide new perspectives on how to better understand other real-world networks. © 2000-2011 IEEE.

Authors
Ahmad A. , Ahmad T. , Ahmad M. , Muthanna A. , Gupta B. , Abd El-Latif A.A.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Number of issue
12
Language
English
Pages
15578-15589
Status
Published
Volume
24
Year
2023
Organizations
  • 1 Chandigarh University, Department of Computer Science and Engineering, Chandigarh, 140413, India
  • 2 Jamia Millia Islamia, Department of Computer Engineering, New Delhi, 110025, India
  • 3 Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, 193232, Russian Federation
  • 4 Peoples' Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
  • 5 Lebanese American University, Beirut, 1102, Lebanon
  • 6 University of Petroleum and Energy Studies (UPES), Center for Interdisciplinary Research, Uttarakhand, Dehradun, 248007, India
  • 7 Skyline University College, Research and Innovation Department, Sharjah, United Arab Emirates
  • 8 Prince Sultan University, Eias Data Science Laboratory, College of Computer and Information Sciences, Riyadh, 11586, Saudi Arabia
  • 9 Menoufia University, Faculty of Science, Department of Mathematics and Computer Science, Shebin El-Koom, 32511, Egypt
  • 10 International Center for Ai and Cyber Security Research and Innovations, Department of Computer Science and Information Engineering, Asia University, Taichung, 413, Taiwan
Keywords
air route network; Critical edges; resilience; salient nodes
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