An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding

Francesco Mattera; Sophie C.F. Hendrikse; Jan Treur

doi:10.1007/978-3-031-53503-1_5

An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding

Francesco Mattera
, Sophie C.F. Hendrikse
, Jan Treur

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

The research reported here analyses the relationship between group synchrony and group bonding through a novel adaptive computational dynamical system model. By simulating multimodal interactions within a group of four agents, the study uncovers patterns in group cohesion in the sense of emerging multimodal group synchrony and related group bonding. Findings include patterns for emerging group synchrony (logarithmical) and group bonding (logistic). The obtained insights offer an understanding of group interaction dynamics. Future research may consider larger groups and more variations of synchrony detection functions to widen the obtained findings.

Original language	English
Title of host publication	Complex networks & their applications XII
Subtitle of host publication	Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4
Editors	Hocine Cherifi, Luis M. Rocha, Chantal Cherifi, Murat Donduran
Publisher	Springer Cham
Pages	53-66
Number of pages	14
Volume	4
ISBN (Electronic)	9783031535031
ISBN (Print)	9783031535055, 9783031535024
DOIs	https://doi.org/10.1007/978-3-031-53503-1_5
Publication status	Published - 29 Feb 2024
Externally published	Yes
Event	The 12t international conference on complex networks and their applications: Complex networks 2023 - Menton Riviera, France Duration: 28 Nov 2023 → 30 Nov 2023 Conference number: 12 https://2023.complexnetworks.org/

Publication series

Name	Studies in computational intelligence
Publisher	Springer
Volume	1144
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	The 12t international conference on complex networks and their applications
Country/Territory	France
City	Menton Riviera
Period	28/11/23 → 30/11/23
Internet address	https://2023.complexnetworks.org/

Keywords

Group Dynamics
Adaptive Network Model
Interpersonal and Group Synchrony
Group Bonding

Access to Document

10.1007/978-3-031-53503-1_5

Cite this

Mattera, F., Hendrikse, S. C. F., & Treur, J. (2024). An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding. In H. Cherifi, L. M. Rocha, C. Cherifi, & M. Donduran (Eds.), Complex networks & their applications XII: Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4 (Vol. 4, pp. 53-66). (Studies in computational intelligence; Vol. 1144). Springer Cham. https://doi.org/10.1007/978-3-031-53503-1_5

Mattera, Francesco ; Hendrikse, Sophie C.F. ; Treur, Jan. / An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding. Complex networks & their applications XII: Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. editor / Hocine Cherifi ; Luis M. Rocha ; Chantal Cherifi ; Murat Donduran. Vol. 4 Springer Cham, 2024. pp. 53-66 (Studies in computational intelligence).

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title = "An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding",

abstract = "The research reported here analyses the relationship between group synchrony and group bonding through a novel adaptive computational dynamical system model. By simulating multimodal interactions within a group of four agents, the study uncovers patterns in group cohesion in the sense of emerging multimodal group synchrony and related group bonding. Findings include patterns for emerging group synchrony (logarithmical) and group bonding (logistic). The obtained insights offer an understanding of group interaction dynamics. Future research may consider larger groups and more variations of synchrony detection functions to widen the obtained findings.",

keywords = "Group Dynamics, Adaptive Network Model, Interpersonal and Group Synchrony, Group Bonding",

author = "Francesco Mattera and Hendrikse, \{Sophie C.F.\} and Jan Treur",

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booktitle = "Complex networks \& their applications XII",

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Mattera, F, Hendrikse, SCF & Treur, J 2024, An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding. in H Cherifi, LM Rocha, C Cherifi & M Donduran (eds), Complex networks & their applications XII: Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. vol. 4, Studies in computational intelligence, vol. 1144, Springer Cham, pp. 53-66, The 12t international conference on complex networks and their applications, Menton Riviera, France, 28/11/23. https://doi.org/10.1007/978-3-031-53503-1_5

An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding. / Mattera, Francesco; Hendrikse, Sophie C.F.; Treur, Jan.
Complex networks & their applications XII: Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. ed. / Hocine Cherifi; Luis M. Rocha; Chantal Cherifi; Murat Donduran. Vol. 4 Springer Cham, 2024. p. 53-66 (Studies in computational intelligence; Vol. 1144).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Mattera, Francesco

AU - Hendrikse, Sophie C.F.

AU - Treur, Jan

N1 - Conference code: 12

PY - 2024/2/29

Y1 - 2024/2/29

N2 - The research reported here analyses the relationship between group synchrony and group bonding through a novel adaptive computational dynamical system model. By simulating multimodal interactions within a group of four agents, the study uncovers patterns in group cohesion in the sense of emerging multimodal group synchrony and related group bonding. Findings include patterns for emerging group synchrony (logarithmical) and group bonding (logistic). The obtained insights offer an understanding of group interaction dynamics. Future research may consider larger groups and more variations of synchrony detection functions to widen the obtained findings.

AB - The research reported here analyses the relationship between group synchrony and group bonding through a novel adaptive computational dynamical system model. By simulating multimodal interactions within a group of four agents, the study uncovers patterns in group cohesion in the sense of emerging multimodal group synchrony and related group bonding. Findings include patterns for emerging group synchrony (logarithmical) and group bonding (logistic). The obtained insights offer an understanding of group interaction dynamics. Future research may consider larger groups and more variations of synchrony detection functions to widen the obtained findings.

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KW - Adaptive Network Model

KW - Interpersonal and Group Synchrony

KW - Group Bonding

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DO - 10.1007/978-3-031-53503-1_5

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Y2 - 28 November 2023 through 30 November 2023

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Mattera F, Hendrikse SCF, Treur J. An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding. In Cherifi H, Rocha LM, Cherifi C, Donduran M, editors, Complex networks & their applications XII: Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. Vol. 4. Springer Cham. 2024. p. 53-66. (Studies in computational intelligence). doi: 10.1007/978-3-031-53503-1_5

An adaptive network model for the emergence of group synchrony and behavioral adaptivity for group bonding

Abstract

Publication series

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Keywords

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