Long-term correlations in short, non-stationary time series: An application to international R&D collaborations
作者：
Highlights：
• We apply Detrended Fluctuation Analysis to time series of metrics on patent collaborations.
• These time series show positive, long-term correlation properties at continental scale.
• Different qualitative and quantitative behaviors emerge at EU national level.
• We shed light on which countries have stronger relationships with the US according to DFA.
• Several associations between DFA exponents and national topological features emerge.
摘要
•We apply Detrended Fluctuation Analysis to time series of metrics on patent collaborations.•These time series show positive, long-term correlation properties at continental scale.•Different qualitative and quantitative behaviors emerge at EU national level.•We shed light on which countries have stronger relationships with the US according to DFA.•Several associations between DFA exponents and national topological features emerge.
论文关键词：R&D international collaborations,Detrended Fluctuation Analysis,Integration of R&D systems
论文评审过程：Received 25 June 2018, Revised 22 February 2019, Accepted 23 February 2019, Available online 25 March 2019, Version of Record 25 March 2019.
论文官网地址：https://doi.org/10.1016/j.joi.2019.02.010
