Discovering hidden time patterns in behavior: T-patterns and their detection

By Magnús Magnússon. Behavoir research methods, instruments & computers, 2000

604 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/68aee95568e6ca1b34542fbff6cc1f0b5b1a1d82

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In Management Science and Operations Research

In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Time in applied psychology: The study of "what happens" rather than "what is." (2008, methodology): “Applications of time pattern analysis, a new method for establishing the temporal interdependencies of behavioral events involving one or more actors, are described by Anolli, Duncan, Magnusson, and Riva (2005) and Magnusson (2000).”
Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015, background): “…observations, for example, detecting the pattern ‘exchange of toys’ from a behavioural sequence similar to ‘forward movement Child A—placing hand on ball—closing fingers around ball—picking up ball —moving arm towards Child B—Child B moving arm towards hand of Child A’, and so on (Magnusson, 2000).”
Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines (2012, methodology): “Magnusson underlines the complexity of the detection of such interactive patterns using methods that simply study the sequence of events [115].”
Setting the tone: Early interaction patterns in swift-starting teams as a predictor of effectiveness (2012, methodology): “Such patterns may also be extremely difficult, if not impossible, to detect with procedures such as time series analysis or Markov chains (Magnusson, 2000).”
Once upon a time (2016, positive): “An approach that explicitly takes into account the time in between events is the work by Magnusson (1996, 2000, 2005), who developed a machine-learning approach (known as THEME) to detect specific patterns of event sequences (called ‘‘T-patterns’’).”