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Recurrence-Based Analyses

Af: Giuseppe Leonardi
Kategori: Engelsk non fiction div.
Kategori nr.: 9290
Varenr.: 3289306
| Stregkode: 9781071872338
Direkte | Leverandør: Gardners EUR

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Beskrivelse

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.

Detaljer

  • EAN
    9781071872338
  • Vægt
    0 g
  • Disponent
    Direkte titel
  • Forfatter
    Giuseppe Leonardi
  • Forlag
    SAGE Publications Inc
  • ISBN
    9781071872338
  • Sprog
    Engelsk
  • Sideantal
    152
  • Udgivelsesdato
  • Format
    PAPERBACK
  • Themakode
    GPS, GPS, JMB, JPS, JMB, JPS
  • Kategori
    Engelsk non fiction div.
  • Kategori nr
    9290
  • Lev. varenr.
    1501