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 language | English |
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Title of host publication | Complex Networks and Their Applications XI |
Subtitle of host publication | Proceedings of The Eleventh International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2022 — Volume 2 |
Editors | Hocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Micciche |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 81-95 |
Number of pages | 15 |
Volume | 2 |
ISBN (Electronic) | 9783031211317 |
ISBN (Print) | 9783031211300, 9783031211331 |
DOIs | |
Publication status | Published - 2023 |
Event | 11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 - Palermo, Italy Duration: 8 Nov 2022 → 10 Nov 2022 |
Publication series
Name | Studies in Computational Intelligence |
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Volume | 1078 |
ISSN (Print) | 1860-949X |
ISSN (Electronic) | 1860-9503 |
Conference
Conference | 11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 |
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Country/Territory | Italy |
City | Palermo |
Period | 8/11/22 → 10/11/22 |
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