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Science and Facebook: The same popularity law!

The distribution of scientific citations for publications selected with different rules (author, topic, institution, country, journal, etc…) collapse on a single curve if one plots the citations relative to their mean value. We find that the distribution of “shares” for the Facebook posts rescale in...

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Detalles Bibliográficos
Autores principales: Néda, Zoltán, Varga, Levente, Biró, Tamás S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497968/
https://www.ncbi.nlm.nih.gov/pubmed/28678796
http://dx.doi.org/10.1371/journal.pone.0179656
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author Néda, Zoltán
Varga, Levente
Biró, Tamás S.
author_facet Néda, Zoltán
Varga, Levente
Biró, Tamás S.
author_sort Néda, Zoltán
collection PubMed
description The distribution of scientific citations for publications selected with different rules (author, topic, institution, country, journal, etc…) collapse on a single curve if one plots the citations relative to their mean value. We find that the distribution of “shares” for the Facebook posts rescale in the same manner to the very same curve with scientific citations. This finding suggests that citations are subjected to the same growth mechanism with Facebook popularity measures, being influenced by a statistically similar social environment and selection mechanism. In a simple master-equation approach the exponential growth of the number of publications and a preferential selection mechanism leads to a Tsallis-Pareto distribution offering an excellent description for the observed statistics. Based on our model and on the data derived from PubMed we predict that according to the present trend the average citations per scientific publications exponentially relaxes to about 4.
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spelling pubmed-54979682017-07-25 Science and Facebook: The same popularity law! Néda, Zoltán Varga, Levente Biró, Tamás S. PLoS One Research Article The distribution of scientific citations for publications selected with different rules (author, topic, institution, country, journal, etc…) collapse on a single curve if one plots the citations relative to their mean value. We find that the distribution of “shares” for the Facebook posts rescale in the same manner to the very same curve with scientific citations. This finding suggests that citations are subjected to the same growth mechanism with Facebook popularity measures, being influenced by a statistically similar social environment and selection mechanism. In a simple master-equation approach the exponential growth of the number of publications and a preferential selection mechanism leads to a Tsallis-Pareto distribution offering an excellent description for the observed statistics. Based on our model and on the data derived from PubMed we predict that according to the present trend the average citations per scientific publications exponentially relaxes to about 4. Public Library of Science 2017-07-05 /pmc/articles/PMC5497968/ /pubmed/28678796 http://dx.doi.org/10.1371/journal.pone.0179656 Text en © 2017 Néda 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Néda, Zoltán
Varga, Levente
Biró, Tamás S.
Science and Facebook: The same popularity law!
title Science and Facebook: The same popularity law!
title_full Science and Facebook: The same popularity law!
title_fullStr Science and Facebook: The same popularity law!
title_full_unstemmed Science and Facebook: The same popularity law!
title_short Science and Facebook: The same popularity law!
title_sort science and facebook: the same popularity law!
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497968/
https://www.ncbi.nlm.nih.gov/pubmed/28678796
http://dx.doi.org/10.1371/journal.pone.0179656
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