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Translational Recurrences

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Cover of 'Translational Recurrences'

Table of Contents

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    Book Overview
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    Chapter 1 A Recurrence Plot-Based Distance Measure
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    Chapter 2 Fast Computation of Recurrences in Long Time Series
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    Chapter 3 Unthresholded Recurrence Plots for Complex-Valued Representations of Narrow Band Signals
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    Chapter 4 Quantifying Redundancy and Information Content of Lines in Recurrence Plots Using the Theory of Framework Rigidity
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    Chapter 5 Recent Advances in Non-stationary Signal Processing Based on the Concept of Recurrence Plot Analysis
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    Chapter 6 A Recurrence-Based Approach for Feature Extraction in Brain-Computer Interface Systems
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    Chapter 7 Response to Active Standing of Heart Beat Interval, Systolic Blood Volume and Systolic Blood Pressure: Recurrence Plot Analysis
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    Chapter 8 Recurrence Quantification Analysis as a Tool for Discrimination Among Different Dynamics Classes: The Heart Rate Variability Associated to Different Age Groups
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    Chapter 9 Analyzing Social Interactions: The Promises and Challenges of Using Cross Recurrence Quantification Analysis
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    Chapter 10 Cross-Recurrence Quantification Analysis of the Influence of Coupling Constraints on Interpersonal Coordination and Communication
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    Chapter 11 Recurrence Quantification as an Analysis of Temporal Coordination with Complex Signals
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    Chapter 12 Synchronicity Assessment Using a Non-parametric Dynamic Dissimilarity Measure
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    Chapter 13 Understanding the Interrelationship Between Commodity and Stock Indices Daily Movement Using ACE and Recurrence Analysis
Attention for Chapter 9: Analyzing Social Interactions: The Promises and Challenges of Using Cross Recurrence Quantification Analysis
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Chapter title
Analyzing Social Interactions: The Promises and Challenges of Using Cross Recurrence Quantification Analysis
Chapter number 9
Book title
Translational Recurrences
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-09531-8_9
Book ISBNs
978-3-31-909530-1, 978-3-31-909531-8
Authors

Riccardo Fusaroli, Ivana Konvalinka, Sebastian Wallot, Norbert Marwan, Michael Riley, Alessandro Giuliani, Charles L. Webber,, Fusaroli, Riccardo, Konvalinka, Ivana, Wallot, Sebastian

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X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 2%
Netherlands 1 1%
United States 1 1%
Austria 1 1%
Unknown 87 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 27%
Researcher 20 22%
Student > Bachelor 8 9%
Student > Master 8 9%
Professor > Associate Professor 6 7%
Other 12 13%
Unknown 13 14%
Readers by discipline Count As %
Psychology 32 35%
Social Sciences 9 10%
Computer Science 8 9%
Neuroscience 5 5%
Linguistics 3 3%
Other 15 16%
Unknown 20 22%