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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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 |
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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 |
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