Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
Revisiting the Robustness of Complex Networks against Random Node Removal
Kazuyuki YamashitaYuichi YasudaRyo NakamuraHiroyuki Ohsaki
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2019 Volume 27 Pages 643-649

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Abstract

It is widely known that scale-free networks are robust against random node removal, which is one of major interesting findings in network science. This suggests that, for instance, communication networks such as the Internet is robust against random node failures caused by breakdowns and/or malicious attacks if their network topologies are scale-free networks. Generally, the ratio of failed devices (e.g., routers) to operational devices is not extremely high. In this paper, we revisit the robustness of complex networks against random node removal. Through simulations, we compare the robustness of scale-free and non-scale-free networks against random node removal as well as random edge removal. Our findings include that, contrary to common understanding, non-scale-free networks are more robust than scale-free networks except under extremely high node removal ratio. We also show that the robustness of non-scale-free networks can be further improved by bounding the minimum node degree of those networks.

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© 2019 by the Information Processing Society of Japan
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