English

On 2-strong connectivity orientations of mixed graphs and related problems

Data Structures and Algorithms 2024-04-15 v3 Combinatorics

Abstract

A mixed graph GG is a graph that consists of both undirected and directed edges. An orientation of GG is formed by orienting all the undirected edges of GG, i.e., converting each undirected edge {u,v}\{u,v\} into a directed edge that is either (u,v)(u,v) or (v,u)(v,u). The problem of finding an orientation of a mixed graph that makes it strongly connected is well understood and can be solved in linear time. Here we introduce the following orientation problem in mixed graphs. Given a mixed graph GG, we wish to compute its maximal sets of vertices C1,C2,,CkC_1,C_2,\ldots,C_k with the property that by removing any edge ee from GG (directed or undirected), there is an orientation RiR_i of GeG\setminus{e} such that all vertices in CiC_i are strongly connected in RiR_i. We discuss properties of those sets, and we show how to solve this problem in linear time by reducing it to the computation of the 22-edge twinless strongly connected components of a directed graph. A directed graph G=(V,E)G=(V,E) is twinless strongly connected if it contains a strongly connected spanning subgraph without any pair of antiparallel (or twin) edges. The twinless strongly connected components (TSCCs) of a directed graph GG are its maximal twinless strongly connected subgraphs. A 22-edge twinless strongly connected component (2eTSCC) of GG is a maximal subset of vertices CC such that any two vertices u,vCu, v \in C are in the same twinless strongly connected component of GeG \setminus e, for any edge ee. These concepts are motivated by several diverse applications, such as the design of road and telecommunication networks, and the structural stability of buildings.

Keywords

Cite

@article{arxiv.2302.02215,
  title  = {On 2-strong connectivity orientations of mixed graphs and related problems},
  author = {Loukas Georgiadis and Dionysios Kefallinos and Evangelos Kosinas},
  journal= {arXiv preprint arXiv:2302.02215},
  year   = {2024}
}