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Article . 1986 . Peer-reviewed
License: Wiley Online Library User Agreement
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 . 1986
Data sources: zbMATH Open
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Article . 1986
Data sources: DBLP
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The structure of distances in networks

Authors: Eric Howe; Charles R. Johnson; James Lawrence 0001;

The structure of distances in networks

Abstract

AbstractPart of this work is concerned with determining those graphs that produce extreme rays of the cone of shortest distance matrices of undirected linear n‐vertex graphs without loops. For n ≤ 4, for example, all extreme rays come from a certain class of “elementary” graphs, but for n ≥ 5 there are nonelementary extreme rays, and these are studied further. Another part of this work is concerned with the representation of a distance matrix as a set of distances among points in a normed vector space. The set of graphs (distance matrices) representable by a given norm and the set of norms (and dimensions of spaces) by which a given graph may be represented are studied. It is shown that lx is unique among lp norms in that any graph is lx representable in Rn−1. The l1 representable distance matrices are found to be just those in the cone generated by elementaries for all n. Other results on distance matrices are also included.

Keywords

graphs, distance matrix, Graphs and linear algebra (matrices, eigenvalues, etc.), Applications of graph theory to circuits and networks, extreme rays, cone of shortest distance matrices, Paths and cycles

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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!
6
Average
Top 10%
Average
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