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Ranking scientific publications: the effect of nonlinearity

Ranking the significance of scientific publications is a long-standing challenge. The network-based analysis is a natural and common approach for evaluating the scientific credit of papers. Although the number of citations has been widely used as a metric to rank papers, recently some iterative proc...

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Detalles Bibliográficos
Autores principales: Yao, Liyang, Wei, Tian, Zeng, An, Fan, Ying, Di, Zengru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4200399/
https://www.ncbi.nlm.nih.gov/pubmed/25322852
http://dx.doi.org/10.1038/srep06663
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author Yao, Liyang
Wei, Tian
Zeng, An
Fan, Ying
Di, Zengru
author_facet Yao, Liyang
Wei, Tian
Zeng, An
Fan, Ying
Di, Zengru
author_sort Yao, Liyang
collection PubMed
description Ranking the significance of scientific publications is a long-standing challenge. The network-based analysis is a natural and common approach for evaluating the scientific credit of papers. Although the number of citations has been widely used as a metric to rank papers, recently some iterative processes such as the well-known PageRank algorithm have been applied to the citation networks to address this problem. In this paper, we introduce nonlinearity to the PageRank algorithm when aggregating resources from different nodes to further enhance the effect of important papers. The validation of our method is performed on the data of American Physical Society (APS) journals. The results indicate that the nonlinearity improves the performance of the PageRank algorithm in terms of ranking effectiveness, as well as robustness against malicious manipulations. Although the nonlinearity analysis is based on the PageRank algorithm, it can be easily extended to other iterative ranking algorithms and similar improvements are expected.
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spelling pubmed-42003992014-10-21 Ranking scientific publications: the effect of nonlinearity Yao, Liyang Wei, Tian Zeng, An Fan, Ying Di, Zengru Sci Rep Article Ranking the significance of scientific publications is a long-standing challenge. The network-based analysis is a natural and common approach for evaluating the scientific credit of papers. Although the number of citations has been widely used as a metric to rank papers, recently some iterative processes such as the well-known PageRank algorithm have been applied to the citation networks to address this problem. In this paper, we introduce nonlinearity to the PageRank algorithm when aggregating resources from different nodes to further enhance the effect of important papers. The validation of our method is performed on the data of American Physical Society (APS) journals. The results indicate that the nonlinearity improves the performance of the PageRank algorithm in terms of ranking effectiveness, as well as robustness against malicious manipulations. Although the nonlinearity analysis is based on the PageRank algorithm, it can be easily extended to other iterative ranking algorithms and similar improvements are expected. Nature Publishing Group 2014-10-17 /pmc/articles/PMC4200399/ /pubmed/25322852 http://dx.doi.org/10.1038/srep06663 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Article
Yao, Liyang
Wei, Tian
Zeng, An
Fan, Ying
Di, Zengru
Ranking scientific publications: the effect of nonlinearity
title Ranking scientific publications: the effect of nonlinearity
title_full Ranking scientific publications: the effect of nonlinearity
title_fullStr Ranking scientific publications: the effect of nonlinearity
title_full_unstemmed Ranking scientific publications: the effect of nonlinearity
title_short Ranking scientific publications: the effect of nonlinearity
title_sort ranking scientific publications: the effect of nonlinearity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4200399/
https://www.ncbi.nlm.nih.gov/pubmed/25322852
http://dx.doi.org/10.1038/srep06663
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