English

On Vertex Attack Tolerance in Regular Graphs

Discrete Mathematics 2014-09-09 v1 Social and Information Networks

Abstract

We have previously introduced vertex attack tolerance (VAT), denoted mathematically as τ(G)=minSVSVSCmax(VS)+1\tau(G) = \min_{S \subset V} \frac{|S|}{|V-S-C_{max}(V-S)|+1} where Cmax(VS)C_{max}(V-S) is the largest connected component in VSV-S, as an appropriate mathematical measure of resilience in the face of targeted node attacks for arbitrary degree networks. A part of the motivation for VAT was the observation that, whereas conductance, Φ(G)\Phi(G), captures both edge based and node based resilience for regular graphs, conductance fails to capture node based resilience for heterogeneous degree distributions. We had previously demonstrated an upper bound on VAT via conductance for the case of dd-regular graphs GG as follows: τ(G)dΦ(G)\tau(G) \le d\Phi(G) if Φ(G)1d2\Phi(G) \le \frac{1}{d^2} and τ(G)d2Φ(G)\tau(G) \le d^2\Phi(G) otherwise. In this work, we provide a new matching lower bound: τ(G)1dΦ(G)\tau(G) \ge \frac{1}{d}\Phi(G). The lower and upper bound combined show that τ(G)=Θ(Φ(G))\tau(G) = \Theta(\Phi(G)) for regular constant degree dd and yield spectral bounds as corollaries.

Keywords

Cite

@article{arxiv.1409.2172,
  title  = {On Vertex Attack Tolerance in Regular Graphs},
  author = {Gunes Ercal},
  journal= {arXiv preprint arXiv:1409.2172},
  year   = {2014}
}
R2 v1 2026-06-22T05:50:45.291Z