Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 590, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physa.2021.126667
Keywords
Complex networks; Weighted networks; Centrality; Attacks, strategies; Average geodesic; Largest connected component
Categories
Funding
- Cochin University of Science and Technology
Ask authors/readers for more resources
This study examines the vulnerability of link-weighted networks to different central-attack strategies. It finds that attacks based on both betweenness centrality and degree centrality are the most hazardous when considering the disintegration of giant components. However, when assessing attacks based on the average geodesic distance, attacks using closeness centrality are equally relevant.
In this work, we study the vulnerability of link-weighted networks against different central-attack strategies. We simulate simultaneous and sequential attacks on networks based on three network centralities, viz. degree (DC), betweenness (BC) and closeness (CC) centralities. We observed two network properties, the disintegration of giant components and updates in the average geodesic distance, to assess the severity of attacks. If the severity of attacks is calculated based on the first property alone, BC and DC-based attacks are the most hazardous. But, if the severity is computed based on the latter property, the average geodesic distance, the CC-based attacks found to be equally relevant. We show that sequential attacks based on CC are effective in crippling link-weighted networks. Also, suppose that the critical nodes (nodes with high BC and DC) in the network are protected. In such a circumstance, we show that the fallback strategy based on profile closeness is indeed a reasonable approach for attacking protected, link-weighted networks. (C) 2021 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available