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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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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 |
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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 |
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