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

Divya Sindhu Lekha and Kannan Balakrishnan

Physica A: Statistical Mechanics and its Applications, 2020, vol. 549, issue C

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.

Keywords: Complex networks; Attack vulnerability; Centrality; Closeness centrality; Average shortest path length (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:549:y:2020:i:c:s0378437120301187

DOI: 10.1016/j.physa.2020.124347

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