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Network Structure of Affective Communication and Shared Emotion in Teams
This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective commu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603002/ https://www.ncbi.nlm.nih.gov/pubmed/33080886 http://dx.doi.org/10.3390/bs10100159 |
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author | Rhee, Seung-Yoon Park, Hyewon Bae, Jonghoon |
author_facet | Rhee, Seung-Yoon Park, Hyewon Bae, Jonghoon |
author_sort | Rhee, Seung-Yoon |
collection | PubMed |
description | This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective communication networks involving or excluding a focal person in the process of emotional contagion by disaggregating team emotional contagion into individual acts of sending or receiving emotion-laden responses. Through an experiment with 38 pre-existing work teams, including undergraduate or MBA project teams and teams of student club or co-op officers, we found that the explicit emotional contagion mechanism was a more stable channel for emotional contagion than the implicit emotional contagion mechanism. Active participation in affective communication, measured by outdegree centrality in affective communication networks, was positively and significantly associated with emotional contagion with other members. In contrast, a team member’s passive observation of humor, measured by ego network density, led to emotional divergence when all other members engaged in humor communication. Our study sheds light on the micro-level process of emotional contagion. The individual-level process of emotional convergence varies with the relational pattern of affective networks, and emotion contagion in teams depends on the interplay of the active expresser and the passive spectator in affective networks. |
format | Online Article Text |
id | pubmed-7603002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76030022020-11-01 Network Structure of Affective Communication and Shared Emotion in Teams Rhee, Seung-Yoon Park, Hyewon Bae, Jonghoon Behav Sci (Basel) Article This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective communication networks involving or excluding a focal person in the process of emotional contagion by disaggregating team emotional contagion into individual acts of sending or receiving emotion-laden responses. Through an experiment with 38 pre-existing work teams, including undergraduate or MBA project teams and teams of student club or co-op officers, we found that the explicit emotional contagion mechanism was a more stable channel for emotional contagion than the implicit emotional contagion mechanism. Active participation in affective communication, measured by outdegree centrality in affective communication networks, was positively and significantly associated with emotional contagion with other members. In contrast, a team member’s passive observation of humor, measured by ego network density, led to emotional divergence when all other members engaged in humor communication. Our study sheds light on the micro-level process of emotional contagion. The individual-level process of emotional convergence varies with the relational pattern of affective networks, and emotion contagion in teams depends on the interplay of the active expresser and the passive spectator in affective networks. MDPI 2020-10-17 /pmc/articles/PMC7603002/ /pubmed/33080886 http://dx.doi.org/10.3390/bs10100159 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rhee, Seung-Yoon Park, Hyewon Bae, Jonghoon Network Structure of Affective Communication and Shared Emotion in Teams |
title | Network Structure of Affective Communication and Shared Emotion in Teams |
title_full | Network Structure of Affective Communication and Shared Emotion in Teams |
title_fullStr | Network Structure of Affective Communication and Shared Emotion in Teams |
title_full_unstemmed | Network Structure of Affective Communication and Shared Emotion in Teams |
title_short | Network Structure of Affective Communication and Shared Emotion in Teams |
title_sort | network structure of affective communication and shared emotion in teams |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603002/ https://www.ncbi.nlm.nih.gov/pubmed/33080886 http://dx.doi.org/10.3390/bs10100159 |
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