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Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution

The (asymptotic) degree distributions of the best-known “scale-free” network models are all similar and are independent of the seed graph used; hence, it has been tempting to assume that networks generated by these models are generally similar. In this paper, we observe that several key topological...

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Detalles Bibliográficos
Autores principales: Hormozdiari, Fereydoun, Berenbrink, Petra, Pržulj, Nataša, Sahinalp, S. Cenk
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1913096/
https://www.ncbi.nlm.nih.gov/pubmed/17616981
http://dx.doi.org/10.1371/journal.pcbi.0030118
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author Hormozdiari, Fereydoun
Berenbrink, Petra
Pržulj, Nataša
Sahinalp, S. Cenk
author_facet Hormozdiari, Fereydoun
Berenbrink, Petra
Pržulj, Nataša
Sahinalp, S. Cenk
author_sort Hormozdiari, Fereydoun
collection PubMed
description The (asymptotic) degree distributions of the best-known “scale-free” network models are all similar and are independent of the seed graph used; hence, it has been tempting to assume that networks generated by these models are generally similar. In this paper, we observe that several key topological features of such networks depend heavily on the specific model and the seed graph used. Furthermore, we show that starting with the “right” seed graph (typically a dense subgraph of the protein–protein interaction network analyzed), the duplication model captures many topological features of publicly available protein–protein interaction networks very well.
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spelling pubmed-19130962007-07-26 Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution Hormozdiari, Fereydoun Berenbrink, Petra Pržulj, Nataša Sahinalp, S. Cenk PLoS Comput Biol Research Article The (asymptotic) degree distributions of the best-known “scale-free” network models are all similar and are independent of the seed graph used; hence, it has been tempting to assume that networks generated by these models are generally similar. In this paper, we observe that several key topological features of such networks depend heavily on the specific model and the seed graph used. Furthermore, we show that starting with the “right” seed graph (typically a dense subgraph of the protein–protein interaction network analyzed), the duplication model captures many topological features of publicly available protein–protein interaction networks very well. Public Library of Science 2007-07 2007-07-06 /pmc/articles/PMC1913096/ /pubmed/17616981 http://dx.doi.org/10.1371/journal.pcbi.0030118 Text en © 2007 Hormozdiari et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hormozdiari, Fereydoun
Berenbrink, Petra
Pržulj, Nataša
Sahinalp, S. Cenk
Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution
title Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution
title_full Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution
title_fullStr Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution
title_full_unstemmed Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution
title_short Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution
title_sort not all scale-free networks are born equal: the role of the seed graph in ppi network evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1913096/
https://www.ncbi.nlm.nih.gov/pubmed/17616981
http://dx.doi.org/10.1371/journal.pcbi.0030118
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