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Resistance distances on networks

Authors: Carmona Mejías, Ángeles; Encinas Bachiller, Andrés Marcos; Mitjana Riera, Margarida;

Resistance distances on networks

Abstract

This paper aims to study a family of distances in networks associated with effective resistances. Specifically, we consider the effective resistance distance with respect to a positive parameter and a weight on the vertex set; that is, the effective resistance distance associated with an irreducible and symmetric M-matrix whose lowest eigenvalue is the parameter and the weight function is the associated eigenfunction. The main idea is to consider the network embedded in a host network with additional edges whose conductances are given in terms of the mentioned parameter. The novelty of these distances is that they take into account not only the influence of shortest and longest weighted paths but also the importance of the vertices. Finally, we prove that the adjusted forest metric introduced by P. Chebotarev and E. Shamis is nothing else but a distance associated with a Schr?dinger operator with constant weight.

Country
Spain
Keywords

Teoria de, Distance in graphs, Grafs, Teoria de, Eff ective resistances, symmetric M-matrices., Classificació AMS::05 Combinatorics::05C Graph theory, :Matemàtiques i estadística::Matemàtica discreta [Àrees temàtiques de la UPC], effective resistances, Graph theory, Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica discreta, Grafs, symmetric \(M\)-matrices, Schrodinger operator, symmetric M-matrices, Small world graphs, complex networks (graph-theoretic aspects), Schrödinger operators, :05 Combinatorics::05C Graph theory [Classificació AMS], resistance distances

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selected citations
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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).
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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.
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