Existence of Optimally-Greatest Digraphs for Strongly Connected Node Reliability
Abstract
In this paper, we introduce a new model to study network reliability with node failures. This model, strongly connected node reliability, is the directed variant of node reliability and measures the probability that the operational vertices induce a subdigraph that is strongly connected. If we are restricted to directed graphs with vertices and or arcs, an optimally-greatest digraph does not exist. Furthermore, we study optimally-greatest directed circulant graphs when the vertices operate with probability near zero and near one. In particular, we show that the graph is optimally-greatest for values of near zero. Then, we determine that the graph is optimally-greatest for values of near one when is even. Next, we show that the graph is optimally-greatest for values of near one when is odd and not divisible by three and that is optimally-greatest for values of near one when is odd and divisible by three. We conclude with a discussion of open problems.
Keywords
Cite
@article{arxiv.2206.12248,
title = {Existence of Optimally-Greatest Digraphs for Strongly Connected Node Reliability},
author = {Danielle Cox and Kyle MacKeigan and Emily Wright},
journal= {arXiv preprint arXiv:2206.12248},
year = {2022}
}
Comments
24 pages, 17 figures