Dense Graph Partitioning on sparse and dense graphs
Abstract
We consider the problem of partitioning a graph into a non-fixed number of non-overlapping subgraphs of maximum density. The density of a partition is the sum of the densities of the subgraphs, where the density of a subgraph is its average degree, that is, the ratio of its number of edges and its number of vertices. This problem, called Dense Graph Partition, is known to be NP-hard on general graphs and polynomial-time solvable on trees, and polynomial-time 2-approximable. In this paper we study the restriction of Dense Graph Partition to particular sparse and dense graph classes. In particular, we prove that it is NP-hard on dense bipartite graphs as well as on cubic graphs. On dense graphs on vertices, it is polynomial-time solvable on graphs with minimum degree and NP-hard on -regular graphs. We prove that it is polynomial-time -approximable on cubic graphs and admits an efficient polynomial-time approximation scheme on graphs of minimum degree for any constant .
Keywords
Cite
@article{arxiv.2107.13282,
title = {Dense Graph Partitioning on sparse and dense graphs},
author = {Cristina Bazgan and Katrin Casel and Pierre Cazals},
journal= {arXiv preprint arXiv:2107.13282},
year = {2022}
}