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Edge Forcing in Butterfly Networks

Edge forcing in butterfly networks
Authors: G. Jessy Sujana; T. M. Rajalaxmi; Indra Rajasingh; R. Sundara Rajan;

Edge Forcing in Butterfly Networks

Abstract

A zero forcing set is a set $S$ of vertices of a graph $G$, called forced vertices of $G$, which are able to force the entire graph by applying the following process iteratively: At any particular instance of time, if any forced vertex has a unique unforced neighbor, it forces that neighbor. In this paper, we introduce a variant of zero forcing set that induces independent edges and name it as edge-forcing set. The minimum cardinality of an edge-forcing set is called the edge-forcing number. We prove that the edge-forcing problem of determining the edge-forcing number is NP-complete. Further, we study the edge-forcing number of butterfly networks. We obtain a lower bound on the edge-forcing number of butterfly networks and prove that this bound is tight for butterfly networks of dimensions 2, 3, 4 and 5 and obtain an upper bound for the higher dimensions. Comment: 15 pages, 8 figures

Keywords

Analysis of algorithms and problem complexity, edge-forcing set, zero forcing set, independent set, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), forced vertex, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Small world graphs, complex networks (graph-theoretic aspects), butterfly networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid