Search for node failure in cascading networks

Authors

  • Mark Leo Bejemino National Institute of Physics, University of the Philippines Diliman
  • May Lim National Institute of Physics, University of the Philippines Diliman

Abstract

We consider the problem of searching for a node that has failed (FN) thus promoting a cascading breakdown in complex networks. Using a simple algorithm, we show that the FN in a Preferential Detachment network could be determined with a 99% success rate (SR). For Barabasi-Albert network, Erdos- Renyi network, and Watts-Strogatz networks, SR as high as 100% is attainable. We also show that higher mean degree increases the efficiency of the algorithm.

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Published

2008-10-22

How to Cite

[1]
“Search for node failure in cascading networks”, Proc. SPP, vol. 26, no. 1, pp. SPP–2008, Oct. 2008, Accessed: Mar. 24, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2008-2C-03