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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2007
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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. |
format | Text |
id | pubmed-1913096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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