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Tolerance of scale-free networks: from friendly to intentional attack strategies

Author

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  • Gallos, Lazaros K.
  • Argyrakis, Panos
  • Bunde, Armin
  • Cohen, Reuven
  • Havlin, Shlomo

Abstract

We study the tolerance of a scale-free network (having a connectivity distribution P(k)∼k−γ) under systematic variation of the attack strategy. In an attack, the probability that a given node is destroyed, depends on the number of its links k via W(k)∼kα, where α varies from −∞ (most harmless attack) to +∞ (most harmful “intentional” attack). We show that the critical fraction pc needed to disintegrate the network increases monotonically when α is decreased and study how at pc the topology of the diluted network depends on the attack strategy.

Suggested Citation

  • Gallos, Lazaros K. & Argyrakis, Panos & Bunde, Armin & Cohen, Reuven & Havlin, Shlomo, 2004. "Tolerance of scale-free networks: from friendly to intentional attack strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(3), pages 504-509.
    • Handle: RePEc:eee:phsmap:v:344:y:2004:i:3:p:504-509
    DOI: 10.1016/j.physa.2004.06.021
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    Cited by:

    1. Han, Jihui & Zhang, Ge & Dong, Gaogao & Zhao, Longfeng & Shi, Yuefeng & Zou, Yijiang, 2024. "Exact analysis of generalized degree-based percolation without memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).
    2. Zhang, Yanlu & Yang, Naiding, 2013. "Research on robustness of R&D network under cascading propagation of risk with gray attack information," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 1-8.

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