Two time series, their meaning and some applications

Ronald Rousseau and Xiaojun Hu

Journal of Informetrics, 2013, vol. 7, issue 3, 603-610

Abstract: 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.

Keywords: Time series; Social sciences; Informetrics; Chinese universities (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:7:y:2013:i:3:p:603-610

DOI: 10.1016/j.joi.2013.03.006

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