Two time series,their meaning and some applications |
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| Authors: | Ronald Rousseau Xiaojun Hu |
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| Institution: | 1. VIVES (Association KU Leuven), Faculty of Engineering Technology, Zeedijk 101, 8400 Oostende, Belgium;2. Universiteit Antwerpen (UA), IBW, Stadscampus, Venusstraat 35, 2000 Antwerpen, Belgium;3. KU Leuven, 3000 Leuven, Belgium;4. Medical Information Centre, Zhejiang University School of Medicine, Hangzhou 310058, China |
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| 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.The article ends by pointing out that these time series can be used to compare innovative activities in firms. Clearly, this investigation is just a first attempt. More studies are needed, including comparisons with other related sequences. |
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| Keywords: | Time series Social sciences Informetrics Chinese universities |
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