An Agent-Based Model for Integrated Contagion and Regulation of Negative Mood

A.A. Aziz, J. Treur, C.N. van der Wal

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Through social interaction, the mood of a person can affect the mood of others. The speed and intensity of such mood contagion can differ, depending on the persons and the type and intensity of their interactions. Especially in close relationships the negative mood of a depressed person can have a serious impact on the moods of the ones close to him or her. For short time durations, contagion may be the main factor determining the mood of a person; however, for longer time durations individuals also apply regulation mechanisms to compensate for too strong deviations of their mood. Computational contagion models usually do not take into account such regulation. This paper introduces an agent-based model that simulates the spread of negative mood amongst a group of agents in a social network, but at the same time integrates elements from Gross' emotion regulation theory, as the individuals' efforts to avoid a negative mood. Simulation experiments under different group settings pointed out that the model is able to produce realistic results, that explain negative mood contagion and emotion regulation behaviours posed in the literature. © 2011 Springer-Verlag.

Fingerprint

Contagion
Mood
Agent-based Model
Person
Experiments
Social Interaction
Gross
Social Networks
Simulation Experiment
Deviation
Integrate

Bibliographical note

Proceedings title: Agents in Principle, Agents in Practice, Proceedings of the 14th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA'11
Publisher: Springer Verlag
Place of publication: Heidelberg-Berlin
Editors: D Kinny et al

Cite this

@article{e7187c61d218482e9cb0f363e0e8c1a4,
title = "An Agent-Based Model for Integrated Contagion and Regulation of Negative Mood",
abstract = "Through social interaction, the mood of a person can affect the mood of others. The speed and intensity of such mood contagion can differ, depending on the persons and the type and intensity of their interactions. Especially in close relationships the negative mood of a depressed person can have a serious impact on the moods of the ones close to him or her. For short time durations, contagion may be the main factor determining the mood of a person; however, for longer time durations individuals also apply regulation mechanisms to compensate for too strong deviations of their mood. Computational contagion models usually do not take into account such regulation. This paper introduces an agent-based model that simulates the spread of negative mood amongst a group of agents in a social network, but at the same time integrates elements from Gross' emotion regulation theory, as the individuals' efforts to avoid a negative mood. Simulation experiments under different group settings pointed out that the model is able to produce realistic results, that explain negative mood contagion and emotion regulation behaviours posed in the literature. {\circledC} 2011 Springer-Verlag.",
author = "A.A. Aziz and J. Treur and {van der Wal}, C.N.",
note = "Proceedings title: Agents in Principle, Agents in Practice, Proceedings of the 14th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA'11 Publisher: Springer Verlag Place of publication: Heidelberg-Berlin Editors: D Kinny et al",
year = "2011",
doi = "10.1007/978-3-642-25044-6_9",
language = "English",
volume = "7047",
pages = "83--96",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

An Agent-Based Model for Integrated Contagion and Regulation of Negative Mood. / Aziz, A.A.; Treur, J.; van der Wal, C.N.

In: Lecture Notes in Computer Science, Vol. 7047, 2011, p. 83-96.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - An Agent-Based Model for Integrated Contagion and Regulation of Negative Mood

AU - Aziz, A.A.

AU - Treur, J.

AU - van der Wal, C.N.

N1 - Proceedings title: Agents in Principle, Agents in Practice, Proceedings of the 14th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA'11 Publisher: Springer Verlag Place of publication: Heidelberg-Berlin Editors: D Kinny et al

PY - 2011

Y1 - 2011

N2 - Through social interaction, the mood of a person can affect the mood of others. The speed and intensity of such mood contagion can differ, depending on the persons and the type and intensity of their interactions. Especially in close relationships the negative mood of a depressed person can have a serious impact on the moods of the ones close to him or her. For short time durations, contagion may be the main factor determining the mood of a person; however, for longer time durations individuals also apply regulation mechanisms to compensate for too strong deviations of their mood. Computational contagion models usually do not take into account such regulation. This paper introduces an agent-based model that simulates the spread of negative mood amongst a group of agents in a social network, but at the same time integrates elements from Gross' emotion regulation theory, as the individuals' efforts to avoid a negative mood. Simulation experiments under different group settings pointed out that the model is able to produce realistic results, that explain negative mood contagion and emotion regulation behaviours posed in the literature. © 2011 Springer-Verlag.

AB - Through social interaction, the mood of a person can affect the mood of others. The speed and intensity of such mood contagion can differ, depending on the persons and the type and intensity of their interactions. Especially in close relationships the negative mood of a depressed person can have a serious impact on the moods of the ones close to him or her. For short time durations, contagion may be the main factor determining the mood of a person; however, for longer time durations individuals also apply regulation mechanisms to compensate for too strong deviations of their mood. Computational contagion models usually do not take into account such regulation. This paper introduces an agent-based model that simulates the spread of negative mood amongst a group of agents in a social network, but at the same time integrates elements from Gross' emotion regulation theory, as the individuals' efforts to avoid a negative mood. Simulation experiments under different group settings pointed out that the model is able to produce realistic results, that explain negative mood contagion and emotion regulation behaviours posed in the literature. © 2011 Springer-Verlag.

U2 - 10.1007/978-3-642-25044-6_9

DO - 10.1007/978-3-642-25044-6_9

M3 - Article

VL - 7047

SP - 83

EP - 96

JO - Lecture Notes in Computer Science

T2 - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -