2026-06-14T03:31:52Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/202612024-11-29T05:00:36Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud
author
Fuster-Parra, Pilar
author
Garcia-Mas, Alex
author
Cantallops, Jaume
author
Javier Ponseti, F
author
Luo, Yuhua
2024-07-09T09:13:14Z
2024-07-09T09:13:14Z
2016-05
Fuster-Parra P, Garcia-Mas A, Cantallops J, Javier Ponseti F, Luo Y. Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks. Symmetry-Basel. 2016 May;8(5):34.
10.3390/sym8050034
2073-8994
Symmetry-Basel
http://hdl.handle.net/20.500.13003/10388
2-s2.0-84969764583
http://hdl.handle.net/20.500.12105/20261
377795700006
The aim of this study is to rank some features that characterize the psychological dynamics of cooperative team work in order to determine priorities for interventions and formation: leading positive feedback, cooperative manager and collaborative manager features. From a dataset of 20 cooperative sport teams (403 soccer players), the characteristics of the prototypical sports teams are studied using an average Bayesian network (BN) and two special types of BNs, the Bayesian classifiers: naive Bayes (NB) and tree augmented naive Bayes (TAN). BNs are selected as they are able to produce probability estimates rather than predictions. BN results show that the antecessors (the top features ranked) are the team members' expectations and their attraction to the social aspects of the task. The main node is formed by the cooperative behaviors, the consequences ranked at the BN bottom (ratified by the TAN trees and the instantiations made), the roles assigned to the members and their survival inside the same team. These results should help managers to determine contents and priorities when they have to face team-building actions.
eng
Bayesian networks
Cohesion team
Collaborative work
Cooperative teams
Naive Bayes
Symmetric independencies
Team dynamics
Tree augmented naive Bayes
Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks
research article