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zbMATH Open
Article . 2018
Data sources: zbMATH Open
MATHEMATICA SCANDINAVICA
Article . 2018 . Peer-reviewed
Data sources: Crossref
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On decay centrality in graphs

Authors: Coronicová Hurajová, Jana; Gago Álvarez, Silvia; Madaras, Tomas;

On decay centrality in graphs

Abstract

The decay centrality of a vertex $v$ in a graph $G$ with respect to a parameter $\delta \in (0,1)$ is a polynomial in δ such that for fixed $k$ the coefficient of $\delta ^k$ is equal to the number of vertices of $G$ at distance $k$ from $v$. This invariant (introduced independently by Jackson and Wolinsky in 1996 and Dangalchev in 2011) is considered as a replacement for the closeness centrality for graphs, however its unstability was pointed out by Yang and Zhuhadar in 2011. We explore mathematical properties of decay centrality depending on the choice of parameter δ and the stability of vertex ranking based on this centrality index.

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Spain
Keywords

Àrees temàtiques de la UPC::Matemàtiques i estadística, Distance in graphs, efficiency, Centrality (Graph theory), :Matemàtiques i estadística [Àrees temàtiques de la UPC], stability, social and economic networks, Small world graphs, complex networks (graph-theoretic aspects), Social networks; opinion dynamics

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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