Science and Facebook: The same popularity law!

PLoS One. 2017 Jul 5;12(7):e0179656. doi: 10.1371/journal.pone.0179656. eCollection 2017.

Abstract

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.

MeSH terms

  • Algorithms
  • Bibliometrics
  • Humans
  • Information Dissemination / methods
  • Internet / statistics & numerical data*
  • Internet / trends
  • Journal Impact Factor
  • Models, Theoretical
  • PubMed / statistics & numerical data
  • PubMed / trends
  • Publications / statistics & numerical data
  • Publications / trends
  • Science / statistics & numerical data*
  • Science / trends
  • Social Media / statistics & numerical data*
  • Social Media / trends
  • Social Networking*

Grants and funding

Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal, http://nkfih.gov.hu/, NKFIH/OTKA project Nr. 104260, funded the research of TSB. The authors also acknowledge Universitatea Babes-Bolyai, http://www.ubbcluj.ro/en/, STAR UBB fellowship for allowing the collaboration between ZN and TSB.