Connected $k$-partition of $k$-connected graphs and $c$-claw-free graphs
Ralf Bornd\"orfer, Katrin Casel, Davis Issac, Aikaterini Niklanovits,, Stephan Schwartz, Ziena Zeif

TL;DR
This paper develops approximation algorithms for balanced connected partitions in specific graph classes, providing near-optimal solutions for partitioning k-connected and c-claw-free graphs, with applications in network design and graph theory.
Contribution
It introduces efficient approximation algorithms for balanced connected partitions in c-claw-free and k-connected graphs, addressing longstanding computational challenges.
Findings
Provides (c-1)-approximation algorithms for BCP in c-claw-free graphs.
Achieves 2-approximation for edge-partition BCP in line graphs.
Offers 3-approximate algorithms for partitioning k-connected graphs with target weights.
Abstract
A connected partition is a partition of the vertices of a graph into sets that induce connected subgraphs. Such partitions naturally occur in many application areas such as road networks, and image processing. We consider Balanced Connected Partitions (BCP), where the two classical objectives for BCP are to maximize the weight of the smallest, or minimize the weight of the largest component. We study BCP on c-claw-free graphs, the class of graphs that do not have as an induced subgraph, and present efficient (c-1)-approximation algorithms for both objectives. In particular, due to the (3-)claw-freeness of line graphs, this also implies a 2-approximations for the edge-partition version of BCP in general graphs. In the 1970s Gy\H{o}ri and Lov\'{a}sz showed for natural numbers where is the vertex size, that if is k-connected, then there exist a…
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