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Article . 1984 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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 . 1984
Data sources: zbMATH Open
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Article . 2020
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Sparse ramsey graphs

Sparse Ramsey graphs
Authors: Jaroslav Nesetril; Vojtech Rödl;

Sparse ramsey graphs

Abstract

Let H be a graph which is the union of copies of a graph G. Associated with H (and the specified copies of G) is the hypergraph \({\mathcal H}\) whose vertices are the edges of H and whose hyperedges are the edge sets of these specified copies of G. The graph H t-arrows G \((H\to(G)_ t)\) if for any coloring of the edges of H with t colors, there is an induced copy of G in at least one of the colors. The following, which implies that there are very sparse Ramsey graphs for any graph G, is the main result. Theorem: For every pair of integers m, t and for any graph G there exists a graph H which is the union of copies of the graph G such that \(H\to(G)_ t\) and \({\mathcal H}\) does not contain any cycle of length less m. In the case when G is a complete graph, as well as for other special classes of graphs, the previous result is valid when the specified copies of G are all copies of G.

Related Organizations
Keywords

Ramsey graphs, coloring of edges, Generalized Ramsey theory, induced copy, Hypergraphs

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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!
11
Average
Top 10%
Average
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