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Central attacks in complex networks: A revisit with new fallback strategy

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  • Lekha, Divya Sindhu
  • Balakrishnan, Kannan

Abstract

In this work, we revisit central attacks in complex networks. We simulate simultaneous as well as sequential attacks on networks based on degree (DC), betweenness (BC) and closeness (CC) centralities. We observed the disintegration of giant components and updates in average geodesic distance, in order to assess the vulnerability of networks. There is ample literature depicting the high severity of BC and DC attacks. However, this severity is calculated based on the size of the giant component in residue networks. We show that CC attacks are also equally hazardous when the severity is calculated based on average geodesic distance. This confirms the relevance of CC in central attacks.

Suggested Citation

  • Lekha, Divya Sindhu & Balakrishnan, Kannan, 2020. "Central attacks in complex networks: A revisit with new fallback strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    • Handle: RePEc:eee:phsmap:v:549:y:2020:i:c:s0378437120301187
    DOI: 10.1016/j.physa.2020.124347
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    References listed on IDEAS

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    Cited by:

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    4. Wang, Ying & Zhao, Ou & Zhang, Limao, 2024. "Modeling urban rail transit system resilience under natural disasters: A two-layer network framework based on link flow," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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