On designing networks resilient to clique blockers

Robustness and vulnerability analysis of networked systems is often performed using the concept of ver-tex blockers. In particular, in the minimum cost vertex blocker clique problem, we seek a subset of ver-tices with the minimum total blocking cost such that the weight of any remaining clique in the inter-dicted graph (after the vertices are blocked) is upper bounded by some pre-defined parameter. Loosely speaking, we aim at disrupting the network with the minimum possible cost in order to guarantee that the network does not contain cohesive (e.g., closely related) groups of its structural elements with large weights; such groups are modeled as weighted cliques. In this paper, our focus is on designing networks that are resilient to clique blockers. Specifically, we construct additional connections (edges) in the net-work and our goal is to ensure (at the minimum possible cost of newly added edges) that the adversarial decision-maker (or the worst-case realization of random failures) cannot disrupt the network (namely, the weight of its cohesive groups) at some sufficiently low cost. The proposed approach is useful for modeling effective formation and preservation of influential clusters in networked systems. We first explore struc-tural properties of our problem. Then, we develop several exact solution schemes based on integer pro-gramming and combinatorial branch-and-bound techniques. Finally, the performance of our approaches is explored in a computational study with randomly-generated and real-life network instances.(c) 2022 Elsevier B.V. All rights reserved.

Automated summary

This paper focuses on the robustness and vulnerability analysis of networked systems using the concept of vertex blockers. It aims to disrupt the network with minimum cost to prevent cohesive groups of structural elements with large weights. The proposed approach constructs additional connections in the network to ensure the network's resilience against clique blockers.