Algorithmic study of $d_2$-transitivity of graphs
Subhabrata Paul, Kamal Santra

TL;DR
This paper introduces the concept of $d_2$-transitivity in graphs, explores its properties, and determines the computational complexity of finding maximum $d_2$-transitive partitions across various graph classes.
Contribution
It defines $d_2$-transitivity, analyzes its computational complexity, and provides linear-time algorithms for specific graph classes while proving NP-completeness for others.
Findings
Linear-time solution for complement of bipartite graphs and bipartite chain graphs.
NP-completeness of the decision problem for split, bipartite, and star-convex bipartite graphs.
Introduction of $d_2$-transitivity as a new graph parameter.
Abstract
Let be a graph where and are the vertex and edge sets, respectively. For two disjoint subsets and of , we say \emph{dominates} if every vertex of is adjacent to at least one vertex of . A vertex partition of is called a \emph{transitive partition} of size if dominates for all . In this article, we initiate the study of a generalization of transitive partition, namely \emph{-transitive partition}. For two disjoint subsets and of , we say \emph{-dominates} if, for every vertex of , there exists a vertex in , such that the distance between them is at most two. A vertex partition of is called a \emph{-transitive partition} of size if -dominates for all . The…
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Taxonomy
TopicsAdvanced Graph Theory Research · Limits and Structures in Graph Theory
