Cargando…

Diameter in ultra‐small scale‐free random graphs

It is well known that many random graphs with infinite variance degrees are ultra‐small. More precisely, for configuration models and preferential attachment models where the proportion of vertices of degree at least k is approximately k (−(τ − 1)) with τ ∈ (2,3), typical distances between pairs of...

Descripción completa

Detalles Bibliográficos
Autores principales: Caravenna, Francesco, Garavaglia, Alessandro, van der Hofstad, Remco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446946/
https://www.ncbi.nlm.nih.gov/pubmed/30983844
http://dx.doi.org/10.1002/rsa.20798
_version_ 1783408440863883264
author Caravenna, Francesco
Garavaglia, Alessandro
van der Hofstad, Remco
author_facet Caravenna, Francesco
Garavaglia, Alessandro
van der Hofstad, Remco
author_sort Caravenna, Francesco
collection PubMed
description It is well known that many random graphs with infinite variance degrees are ultra‐small. More precisely, for configuration models and preferential attachment models where the proportion of vertices of degree at least k is approximately k (−(τ − 1)) with τ ∈ (2,3), typical distances between pairs of vertices in a graph of size n are asymptotic to [Formula: see text] and [Formula: see text] , respectively. In this paper, we investigate the behavior of the diameter in such models. We show that the diameter is of order [Formula: see text] precisely when the minimal forward degree d (fwd) of vertices is at least 2. We identify the exact constant, which equals that of the typical distances plus [Formula: see text]. Interestingly, the proof for both models follows identical steps, even though the models are quite different in nature.
format Online
Article
Text
id pubmed-6446946
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-64469462019-04-10 Diameter in ultra‐small scale‐free random graphs Caravenna, Francesco Garavaglia, Alessandro van der Hofstad, Remco Random Struct Algorithms Research Articles It is well known that many random graphs with infinite variance degrees are ultra‐small. More precisely, for configuration models and preferential attachment models where the proportion of vertices of degree at least k is approximately k (−(τ − 1)) with τ ∈ (2,3), typical distances between pairs of vertices in a graph of size n are asymptotic to [Formula: see text] and [Formula: see text] , respectively. In this paper, we investigate the behavior of the diameter in such models. We show that the diameter is of order [Formula: see text] precisely when the minimal forward degree d (fwd) of vertices is at least 2. We identify the exact constant, which equals that of the typical distances plus [Formula: see text]. Interestingly, the proof for both models follows identical steps, even though the models are quite different in nature. John Wiley & Sons, Inc. 2018-11-12 2019-05 /pmc/articles/PMC6446946/ /pubmed/30983844 http://dx.doi.org/10.1002/rsa.20798 Text en © 2018 The Authors. Random Structures and Algorithms published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Caravenna, Francesco
Garavaglia, Alessandro
van der Hofstad, Remco
Diameter in ultra‐small scale‐free random graphs
title Diameter in ultra‐small scale‐free random graphs
title_full Diameter in ultra‐small scale‐free random graphs
title_fullStr Diameter in ultra‐small scale‐free random graphs
title_full_unstemmed Diameter in ultra‐small scale‐free random graphs
title_short Diameter in ultra‐small scale‐free random graphs
title_sort diameter in ultra‐small scale‐free random graphs
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446946/
https://www.ncbi.nlm.nih.gov/pubmed/30983844
http://dx.doi.org/10.1002/rsa.20798
work_keys_str_mv AT caravennafrancesco diameterinultrasmallscalefreerandomgraphs
AT garavagliaalessandro diameterinultrasmallscalefreerandomgraphs
AT vanderhofstadremco diameterinultrasmallscalefreerandomgraphs