Abstract
This chapter concerns the temporal structure of behavior and interaction amongst individuals as diverse as brain neurons and humans. It suggests a view of behavior and interaction in terms of recurrent self-similar tree structures, T-patterns, which thus have the basic characteristics of fractals and exemplify translation symmetry through the similarity of the recurrence of each, a view that is the basis for the special pattern (T-pattern) detection algorithms implemented in the THEME software especially developed for T-pattern detection. Derived concepts are defined and illustrated with special T-pattern diagrams. Some comparison is made with standard multivariate statistics methods. The analysis of Big Data and Tiny Data using this particular recurrent hierarchical and multiordinal pattern detection approach is discussed, as well as the use of T-pattern Analysis (TPA) to detect experimental effects that often remain hidden to standard statistical methods.
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Appendix: Meaning of Codes
Appendix: Meaning of Codes
Toddlers X and Y playing with a viewer
Categories mostly those of McGrew [34]
Auto manipulate: touching something without looking at what is being touched.
View,long: viewing something for more than 3 s.
Glance at partner: a short glance at the other.
x or y, b or e, haveviewer: the viewer begins or ends being on the side of, respectively, x or y.
Immobile: being completely still, silent and not moving at all
Headtilt: tilting the head clearly to one side; a category much studied by Montagner [24] with results providing much inspiration for the present methodological development of T-patterns and Theme. It seems to function often as a part of effective begging behavior and/or be soothing for the receiver.
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Magnusson, M.S. (2016). Time and Self-Similar Structure in Behavior and Interactions: From Sequences to Symmetry and Fractals. In: Magnusson, M., Burgoon, J., Casarrubea, M. (eds) Discovering Hidden Temporal Patterns in Behavior and Interaction. Neuromethods, vol 111. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3249-8_1
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