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The book introduces innovative methods for analyzing dependency and irregularity in long time series, focusing on cycles that resemble seasonal patterns but occur on variable time scales. It bridges a gap by applying techniques typically reserved for dynamical systems to the social sciences, enabling researchers to investigate and document fractal patterns within dynamic social systems. This approach opens new avenues for understanding complex social phenomena through a mathematical lens.
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Using Time Series to Analyze Long-Range Fractal Patterns, Matthijs Koopmans
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- 2021
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