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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 Journal of Graph The...arrow_drop_down
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
Journal of Graph Theory
Article . 2006 . Peer-reviewed
License: Wiley Online Library User Agreement
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DBLP
Article . 2020
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Distinguishing geometric graphs

Authors: Michael O. Albertson; Debra L. Boutin;

Distinguishing geometric graphs

Abstract

AbstractWe begin the study of distinguishing geometric graphs. Let G be a geometric graph. An automorphism of the underlying graph that preserves both crossings and noncrossings is called a geometric automorphism. A labeling, f: V(G) → {1, 2, … , r}, is said to be r‐distinguishing if no nontrivial geometric automorphism preserves the labels. The distinguishing number of G is the minimum r such that G has an r‐distinguishing labeling. We show that when Kn is not the nonconvex K4, it can be 3‐distinguished. Furthermore, when n ≥ 6, there is a Kn that can be 1‐distinguished. For n ≥ 4, K2,n can realize any distinguishing number between 1 and n inclusive. Finally, we show that every K3,3 can be 2‐distinguished. We also offer several open questions. © 2006 Wiley Periodicals, Inc. J Graph Theory 53: 135–150, 2006

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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!
5
Average
Average
Average
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