Cargando…

Modeling the Citation Network by Network Cosmology

Citation between papers can be treated as a causal relationship. In addition, some citation networks have a number of similarities to the causal networks in network cosmology, e.g., the similar in-and out-degree distributions. Hence, it is possible to model the citation network using network cosmolo...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Zheng, Ouyang, Zhenzheng, Zhang, Pengyuan, Yi, Dongyun, Kong, Dexing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373691/
https://www.ncbi.nlm.nih.gov/pubmed/25807397
http://dx.doi.org/10.1371/journal.pone.0120687
_version_ 1782363365704728576
author Xie, Zheng
Ouyang, Zhenzheng
Zhang, Pengyuan
Yi, Dongyun
Kong, Dexing
author_facet Xie, Zheng
Ouyang, Zhenzheng
Zhang, Pengyuan
Yi, Dongyun
Kong, Dexing
author_sort Xie, Zheng
collection PubMed
description Citation between papers can be treated as a causal relationship. In addition, some citation networks have a number of similarities to the causal networks in network cosmology, e.g., the similar in-and out-degree distributions. Hence, it is possible to model the citation network using network cosmology. The casual network models built on homogenous spacetimes have some restrictions when describing some phenomena in citation networks, e.g., the hot papers receive more citations than other simultaneously published papers. We propose an inhomogenous causal network model to model the citation network, the connection mechanism of which well expresses some features of citation. The node growth trend and degree distributions of the generated networks also fit those of some citation networks well.
format Online
Article
Text
id pubmed-4373691
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-43736912015-03-27 Modeling the Citation Network by Network Cosmology Xie, Zheng Ouyang, Zhenzheng Zhang, Pengyuan Yi, Dongyun Kong, Dexing PLoS One Research Article Citation between papers can be treated as a causal relationship. In addition, some citation networks have a number of similarities to the causal networks in network cosmology, e.g., the similar in-and out-degree distributions. Hence, it is possible to model the citation network using network cosmology. The casual network models built on homogenous spacetimes have some restrictions when describing some phenomena in citation networks, e.g., the hot papers receive more citations than other simultaneously published papers. We propose an inhomogenous causal network model to model the citation network, the connection mechanism of which well expresses some features of citation. The node growth trend and degree distributions of the generated networks also fit those of some citation networks well. Public Library of Science 2015-03-25 /pmc/articles/PMC4373691/ /pubmed/25807397 http://dx.doi.org/10.1371/journal.pone.0120687 Text en © 2015 Xie 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
Xie, Zheng
Ouyang, Zhenzheng
Zhang, Pengyuan
Yi, Dongyun
Kong, Dexing
Modeling the Citation Network by Network Cosmology
title Modeling the Citation Network by Network Cosmology
title_full Modeling the Citation Network by Network Cosmology
title_fullStr Modeling the Citation Network by Network Cosmology
title_full_unstemmed Modeling the Citation Network by Network Cosmology
title_short Modeling the Citation Network by Network Cosmology
title_sort modeling the citation network by network cosmology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373691/
https://www.ncbi.nlm.nih.gov/pubmed/25807397
http://dx.doi.org/10.1371/journal.pone.0120687
work_keys_str_mv AT xiezheng modelingthecitationnetworkbynetworkcosmology
AT ouyangzhenzheng modelingthecitationnetworkbynetworkcosmology
AT zhangpengyuan modelingthecitationnetworkbynetworkcosmology
AT yidongyun modelingthecitationnetworkbynetworkcosmology
AT kongdexing modelingthecitationnetworkbynetworkcosmology