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Two time series, their meaning and some applications


  • Rousseau, Ronald
  • Hu, Xiaojun


Introducing and studying two types of time series, referred to as R1 and R2, we try to enrich the set of time series available for time dependent informetric studies. In a first part we focus on mathematical properties, while in a second part we check if these properties are visible in real data. This practical application uses data in the social sciences related to top Chinese universities. R1 sequences always increase over time, tending relatively fast to one, while R2 sequences have a decreasing tendency tending to zero in practical cases. They can best be used over relatively short periods of time. R1 sequences can be used to detect the rate with which cumulative data increase, while R2 sequences detect the relative rate of development.

Suggested Citation

  • Rousseau, Ronald & Hu, Xiaojun, 2013. "Two time series, their meaning and some applications," Journal of Informetrics, Elsevier, vol. 7(3), pages 603-610.
  • Handle: RePEc:eee:infome:v:7:y:2013:i:3:p:603-610
    DOI: 10.1016/j.joi.2013.03.006

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    References listed on IDEAS

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