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Recurrence-Based Analyses

Recurrence-Based Analyses

          
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About the Book

This book introduces techniques developed in physics and physiology for characterizing and analyzing patterns in time series data to a broad audience of social scientists. In contrast to time-series regression and related techniques, recurrence quantification analysis (RQA) has its background in chaos and nonlinear dynamical systems—theory arguably very relevant to social processes. The goal of Recurrence-Based Analyses is to introduce readers to these techniques that can characterize a system’s complexity, stability and instability, and conditions under which it transitions from one state to another. The authors illustrate concepts and techniques with relevant social science examples at different temporal scales: biweekly polling data on federal elections in Germany; daily values of three stock market indices; daily cases of SarsCov-19 in four countries during the pandemic; and second-by-second vocalizations of mothers and infants interacting recorded by motion cameras. This introduction to RQA serves as a useful supplement to undergraduate and graduate courses in computational social science, and also by researchers who seek new tools to address social scientific questions in new ways.

Table of Contents:
Series Editor Introduction Acknowledgments About the Authors Acronyms and Notation Chapter 1: What is Recurrence Analysis? The Recurrence Plot Deriving Recurrence Measures Advantages and Limitations of Recurrence Analysis Chapter 2: The Basics of Recurrence Analysis—Univariate RQA Parameter Estimation The Delay Parameter t The Embedding Parameter m The Radius Parameter e Further Parameters Summarizing RQA Outputs Chapter 3: The Bi-Variate Case: Cross-Recurrence Quantification Analysis Introduction to CRQA Standardization Alignment The Cross-Recurrence Plot (CRP) Using CRQA With Continuous Data: Stock Market Fluctuations Using CRQA With Categorical Data Chapter 4: The Diagonal-Wise Cross-Recurrence Profile (DCRP) Diagonal-Wise Cross Recurrence Profiles (DCRP) Building a Baseline by Means of Shuffling Chapter 5: Windowed Recurrence Analysis Introduction to Univariate Windowed Recurrence Analysis Windowed Cross-Recurrence Analysis Using Windowed Recurrence Analysis for Continuous Monitoring Chapter 6: Multivariate Analysis: Multidimensional Recurrence Quantification Analysis (MdRQA) Introduction to MdRQA Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) An Example Using Multidimensional RQA on Political Polling Data Chapter 7: Sample Analysis and Practicalities Calculating General Parameters Time Series Length Computing Confidence Bounds Via Boot-Strapping Parameter Exploration Surrogate Analysis Dealing With Multiple Recurrence-Measures Chapter 8: Conclusion Further Applications Finding Software A Final Note References Index


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Product Details
  • ISBN-13: 9781071872338
  • Publisher: SAGE Publications Inc
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • ISBN-10: 1071872338
  • Publisher Date: 14 Mar 2025
  • Height: 215 mm
  • No of Pages: 152
  • Width: 139 mm


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