Sequential Synchronization Analysis

Toshio Murase, Marshall Scott Poole, Raquel Asencio, Joseph Mcdonald

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

One of the oldest questions in group research is “What makes a group more than just a collection of individuals?” This chapter posits that as group members interact, their activities can become socially entrained, constituting the group as an entity beyond the individual members. Capturing social entrainment provides a unique marker on when and how unique properties emerge at the group level. Sequential synchronization analysis is a method for assessing the type and degree of entrainment in groups and teams based on member communication and behavior. It first defines meaningful sequences of actions for each team member and then analyzes how those sequences are synchronized over time. The chapter provides a step-by-step guide on the new approach and an example.
Original languageEnglish (US)
Title of host publicationGroup Processes
Subtitle of host publicationData-Driven Computational Approaches
EditorsAndrew Pilny, Marshall Scott Poole
PublisherSpringer
Chapter6
Pages119-144
DOIs
StatePublished - Mar 8 2017

Publication series

Name Computational Social Sciences
ISSN (Print)2509-9574
ISSN (Electronic)2509-9582

Keywords

  • short sequence
  • time segment
  • optimal match
  • team level
  • subsequence function

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  • Datasets

    Example Sequence Data for Murase et al-Sequential Synchronization Analysis

    Murase, T. (Creator), Poole, M. S. (Creator), Asencio, R. (Creator) & Mcdonald, J. (Creator), University of Illinois at Urbana-Champaign, Sep 1 2016

    Dataset

    Cite this

    Murase, T., Poole, M. S., Asencio, R., & Mcdonald, J. (2017). Sequential Synchronization Analysis. In A. Pilny, & M. S. Poole (Eds.), Group Processes: Data-Driven Computational Approaches (pp. 119-144). ( Computational Social Sciences). Springer. https://doi.org/10.1007/978-3-319-48941-4_6