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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Fundamenta Informati...arrow_drop_down
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Fundamenta Informaticae
Article . 2018
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2020 . Peer-reviewed
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Article . 2018 . Peer-reviewed
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Article . 2018
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On {ℓ}-Metric Dimensions in Graphs

Authors: Hakanen Anni; Laihonen Tero;

On {ℓ}-Metric Dimensions in Graphs

Abstract

A subset S of vertices is a resolving set in a graph if every vertex has a unique array of distances to the vertices of S. Consequently, we can locate any vertex of the graph with the aid of the distance arrays. The problem of finding the smallest cardinality of a resolving set in a graph has been widely studied over the years. In this paper, we consider sets S which can locate several, say up to ℓ, vertices in a graph. These sets are called {ℓ}-resolving sets and the smallest cardinality of such a set is the {ℓ}-metric dimension of the graph. In this paper, we will give the {ℓ}-metric dimensions for trees and king grids. We will show that there are certain vertices that necessarily belong to an {ℓ}-resolving set. Moreover, we will classify all graphs whose {ℓ}-metric dimension equals ℓ.

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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!
3
Average
Average
Average
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