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Random Structures and Algorithms
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
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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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Article . 2017
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Concentration of vertex degrees in a scale‐free random graph process

Concentration of vertex degrees in a scale-free random graph process
Authors: Jerzy Szymanski;

Concentration of vertex degrees in a scale‐free random graph process

Abstract

AbstractThe web may be viewed as a directed graph each of whose vertices is a static HTML Web page, and each of whose edges corresponds to a hyperlink from one Web page to another. In this paper we study the model of random graph (i.e., scale‐free random graph process) introduced by Barabási and Albert and formalized by Bollobás, Riordan, Spencer, and Tusnády, which obey two properties known as power laws for vertex degrees and “small‐world phenomenon.” In the paper we give some exact formulas and fair estimations for expectations of the number of vertices of given degree and the degree of given vertex. Moreover, based on Hájek‐Rényi inequality we give the rate of concentration of the number of vertices of given degree. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2005

Related Organizations
Keywords

Combinatorial probability, Random graphs (graph-theoretic aspects), scale-free random graph

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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!
12
Average
Top 10%
Average
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