Directed Ear Anonymity
Data Structures and Algorithms
2024-01-17 v1
Abstract
We define and study a new structural parameter for directed graphs, which we call \emph{ear anonymity}. Our parameter aims to generalize the useful properties of \emph{funnels} to larger digraph classes. In particular, funnels are exactly the acyclic digraphs with ear anonymity one. We prove that computing the ear anonymity of a digraph is \NP/-hard and that it can be solved in -time on acyclic digraphs (where is the number of vertices and is the number of arcs in the input digraph). It remains open where exactly in the polynomial hierarchy the problem of computing ear anonymity lies, however for a related problem we manage to show -completeness.
Keywords
Cite
@article{arxiv.2401.07640,
title = {Directed Ear Anonymity},
author = {Marcelo Garlet Milani},
journal= {arXiv preprint arXiv:2401.07640},
year = {2024}
}