ArticleEntropy (Basel, Switzerland)2022
Four Methods to Distinguish between Fractal Dimensions in Time Series through Recurrence Quantification Analysis.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Training Load Oscillation and Epigenetic Plasticity: Molecular Pathways Connecting Energy Metabolism and Athletic Personality.International journal of molecular sciences · 2026Review
- Article
- Beyond Words: Speech Coordination Linked to Personality and Appraisals.Journal of nonverbal behavior · 2025Article
- Complexity Science in Human Change: Research, Models, Clinical Applications.Entropy (Basel, Switzerland) · 2022Article
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3 authors.
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Abstract
Fractal properties in time series of human behavior and physiology are quite ubiquitous, and several methods to capture such properties have been proposed in the past decades. Fractal properties are marked by similarities in statistical characteristics over time and space, and it has been suggested that such properties can be well-captured through recurrence quantification analysis. However, no methods to capture fractal fluctuations by means of recurrence-based methods have been developed yet. The present paper takes this suggestion as a point of departure to propose and test several approaches to quantifying fractal fluctuations in synthetic and empirical time-series data using recurrence-based analysis. We show that such measures can be extracted based on recurrence plots, and contrast the different approaches in terms of their accuracy and range of applicability.
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