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Model Validation

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

Abstract

In Chap.  4 we presented the calibration procedure, namely, the measurements of the empirical functions and parameters of the model. These measurements were focused on the deterministic component of citation dynamics while the stochastic component was averaged out. Here, we focus on the fluctuating component of citation dynamics of individual papers and verify that it is captured by the model as well.

Keywords

Citation distribution Fitness Autocorrelation 

References

  1. 27.
    Burrell, Q. L. (2013). A stochastic approach to the relation between the impact factor and the uncitedness factor. Journal of Informetrics, 7(3), 676–682.CrossRefGoogle Scholar
  2. 56.
    Gao, J., Barzel, B., & Barabási, A. L. (2016). Universal resilience patterns in complex networks. Nature, 530, 307.ADSCrossRefGoogle Scholar
  3. 67.
    Golosovsky, M. (2017). Power-law citation distributions are not scale-free. Physical Review E, 96(3), 032306.ADSCrossRefGoogle Scholar
  4. 70.
    Golosovsky, M., & Solomon, S. (2012). Stochastic dynamical model of a growing citation network based on a self-exciting point process. Physical Review Letters, 109(9), 098701.ADSCrossRefGoogle Scholar
  5. 72.
    Golosovsky, M., & Solomon, S. (2017). Growing complex network of citations of scientific papers: Modeling and measurements. Physical Review E, 95(1), 012324.ADSCrossRefGoogle Scholar

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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