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Aequationes Mathematicae
Article . 1998 . Peer-reviewed
License: Springer TDM
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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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Graph similarity and distance in graphs

Authors: M. Schultz; Gary Chartrand; G. Kubicki;

Graph similarity and distance in graphs

Abstract

For a one-one map \(\phi\) between two connected graphs of the same order their \(\phi\)-distance is the sum over all vertex pairs of the first graph of the absolute difference between their distance and the distance of their \(\phi\)-images. The distance between the graphs is the minimum \(\phi\)-distance over all possible \(\phi\). It is shown this is a metric, lower bounds are obtained and distances are determined for some special graph pairs. A distance graph has as vertices connected graphs of a fixed order and edges indicate a graph distance of 1. Every distance graph is bipartite, and any even cycle, tree, forest and \(K_{2,n}\) is a distance graph. It is conjectured that all bipartite graphs are distance graphs.

Related Organizations
Keywords

Distance in graphs, bipartite graph, Structural characterization of families of graphs, graph distance, distance graph

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citations
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!
44
Top 10%
Top 10%
Average
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