Switching In and Out of Sync: A Controlled Adaptive Network Model of Transition Dynamics in the Effects of Interpersonal Synchrony on Affiliation

Sophie C.F. Hendrikse, Jan Treur*, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Interpersonal synchrony is associated with better interpersonal affiliation. No matter how well-affiliated people are, interruptions or transitions in synchrony rebound to occur. One might intuitively expect that transitions in synchrony negatively affect affiliation or liking. Empirical evidence, however, suggests that time periods with interruptions in synchrony may favor affiliation or liking even more than time periods without interruptions in synchrony. This paper introduces a controlled adaptive network model to explain how persons’ affiliation might benefit from transitions in synchrony over and above mean levels of synchrony. The adaptive network model was evaluated in a series of simulation experiments for two persons with a setup in which a number of scenarios were encountered in different (time) episodes. Our controlled adaptive network model may serve as a foundation for more realistic virtual agents with regard to synchrony transitions and their role in affiliation.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications XI
Subtitle of host publicationProceedings of The Eleventh International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2022 — Volume 2
EditorsHocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Micciche
PublisherSpringer Science and Business Media Deutschland GmbH
Pages81-95
Number of pages15
Volume2
ISBN (Electronic)9783031211317
ISBN (Print)9783031211300, 9783031211331
DOIs
Publication statusPublished - 2023
Event11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 - Palermo, Italy
Duration: 8 Nov 202210 Nov 2022

Publication series

NameStudies in Computational Intelligence
Volume1078
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022
Country/TerritoryItaly
CityPalermo
Period8/11/2210/11/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Affiliation
  • Controlled adaptive network model
  • Interpersonal synchrony
  • Liking
  • Synchrony transitions

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