English

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 O(m(n+m))O(m(n + m))-time on acyclic digraphs (where nn is the number of vertices and mm 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 Σ2p\Sigma_2^p-completeness.

Keywords

Cite

@article{arxiv.2401.07640,
  title  = {Directed Ear Anonymity},
  author = {Marcelo Garlet Milani},
  journal= {arXiv preprint arXiv:2401.07640},
  year   = {2024}
}
R2 v1 2026-06-28T14:16:55.799Z