Recurrence-Based Analyses
Format: Paperback
ISBN13: 9781071872338
Paperback|9781071872338
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Overview
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.
| ISBN-13 | 9781071872338 |
|---|---|
| ISBN-10 | 1071872338 |
| Weight | 0.47 Pounds |
| Dimensions | 5.50 x 0.35 x 8.50 In |
| List Price | $51.00 |
| Edition | 1st Edition |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | 152 pages |
| Publisher | SAGE Publications, Inc |
| Published On | 2025-01-24 |
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