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Citation Dynamics of Individual Papers: Model Calibration

  • Michael Golosovsky
Chapter
  • 254 Downloads
Part of the SpringerBriefs in Complexity book series (BRIEFSCOMPLEXITY)

Abstract

The model of citation dynamics developed in Chap.  3 is compared to measurements in order to determine empirical functions and parameters such as aging function, obsolescence function, and the paper’s fitness. We found that the aging function is universal, namely, it is the same for all papers in one field published in the same year. However, the obsolescence function depends on the number of previous citations. This unexpected finding prompted us to focus more closely on the network aspect of citation dynamics and to consider not only the nearest neighbors of each paper in the citation network, but its next-nearest neighbors as well. The updated model takes into account the correlations between citation dynamics of a paper and its neighbors (network assortativity).

Keywords

Complex networks Assortativity Degree-degree correlation Nonlinear dynamics 

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Michael Golosovsky
    • 1
  1. 1.Racah Institute of PhysicsHebrew University of JerusalemJerusalemIsrael

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