A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting

Kasper Nicholas; Eric Zonneveld; Jan Treur

doi:10.1007/978-3-030-60796-8_14

A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting

Kasper Nicholas, Eric Zonneveld, Jan Treur^*

^*Corresponding author for this work

Computer Science

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

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Abstract

Alcohol consumption among young adolescents is problematic as health implications and behavioural changes are common consequences. Another problematic factor among young adolescents is the amount of delinquencies committed. In this paper an adaptive social agent network model using friendship relationships as predictor for alcohol consumption and amount of delinquencies committed is explored. The proposed agent network model was empirically validated using classroom data on young adolescents gathered by Knecht in Dutch schools. The agent network model is second-order adaptive and applies a bonding by homophily adaptation principle with adaptive adaptation speed describing clustering in friends networks based on the two aforementioned factors respectively.

Original language	English
Title of host publication	Intelligent Computing Methodologies
Subtitle of host publication	16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III
Editors	De-Shuang Huang, Prashan Premaratne
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	161-173
Number of pages	13
Volume	3
ISBN (Electronic)	9783030607968
ISBN (Print)	9783030607951
DOIs	https://doi.org/10.1007/978-3-030-60796-8_14
Publication status	Published - 2020
Event	16th International Conference on Intelligent Computing, ICIC 2020 - Bari , Italy Duration: 2 Oct 2020 → 5 Oct 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12465 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Intelligent Computing, ICIC 2020
Country	Italy
City	Bari
Period	2/10/20 → 5/10/20

Keywords

Agent network model
Second-order adaptive
Social dynamics

Access to Document

10.1007/978-3-030-60796-8_14

Nicholas2020_Chapter_ASecond-OrderAdaptiveAgentNetworkModelForSocialDynamicsInAClassroomSettingFinal published version, 570 KBLicence: Article 25fa Dutch Copyright Act

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Nicholas, K., Zonneveld, E., & Treur, J. (2020). A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting. In D-S. Huang, & P. Premaratne (Eds.), Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III (Vol. 3, pp. 161-173). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12465 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60796-8_14

Nicholas, Kasper ; Zonneveld, Eric ; Treur, Jan. / A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting. Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III. editor / De-Shuang Huang ; Prashan Premaratne. Vol. 3 Springer Science and Business Media Deutschland GmbH, 2020. pp. 161-173 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Alcohol consumption among young adolescents is problematic as health implications and behavioural changes are common consequences. Another problematic factor among young adolescents is the amount of delinquencies committed. In this paper an adaptive social agent network model using friendship relationships as predictor for alcohol consumption and amount of delinquencies committed is explored. The proposed agent network model was empirically validated using classroom data on young adolescents gathered by Knecht in Dutch schools. The agent network model is second-order adaptive and applies a bonding by homophily adaptation principle with adaptive adaptation speed describing clustering in friends networks based on the two aforementioned factors respectively.",

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Nicholas, K, Zonneveld, E & Treur, J 2020, A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting. in D-S Huang & P Premaratne (eds), Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III. vol. 3, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12465 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 161-173, 16th International Conference on Intelligent Computing, ICIC 2020, Bari , Italy, 2/10/20. https://doi.org/10.1007/978-3-030-60796-8_14

A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting. / Nicholas, Kasper; Zonneveld, Eric; Treur, Jan.

Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III. ed. / De-Shuang Huang; Prashan Premaratne. Vol. 3 Springer Science and Business Media Deutschland GmbH, 2020. p. 161-173 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12465 LNAI).

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

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Nicholas K, Zonneveld E, Treur J. A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting. In Huang D-S, Premaratne P, editors, Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III. Vol. 3. Springer Science and Business Media Deutschland GmbH. 2020. p. 161-173. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-60796-8_14