English

Dense Graph Partitioning on sparse and dense graphs

Computational Complexity 2022-02-17 v3

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 nn vertices, it is polynomial-time solvable on graphs with minimum degree n3n-3 and NP-hard on (n4)(n-4)-regular graphs. We prove that it is polynomial-time 4/34/3-approximable on cubic graphs and admits an efficient polynomial-time approximation scheme on graphs of minimum degree ntn-t for any constant t4t\geq 4.

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}
}
R2 v1 2026-06-24T04:35:29.574Z