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Open AccessArticle

Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks

1
Department of Mathematics and Computer Science, Universitat Illes Balears, Carr. Valldemossa km. 7.5, Palma de Mallorca, Spain
2
Faculty of Psychology, Universitat Illes Balears, Carr. Valldemossa km. 7.5, Palma de Mallorca, Spain
3
Department of Pedagogy, Universitat Illes Balears, Carr. Valldemossa km. 7.5, Palma de Mallorca, Spain
*
Author to whom correspondence should be addressed.
All authors contributed equally to this work.
Academic Editor: Karl Grammer
Symmetry 2016, 8(5), 34; https://doi.org/10.3390/sym8050034
Received: 18 November 2015 / Revised: 8 March 2016 / Accepted: 3 May 2016 / Published: 9 May 2016
(This article belongs to the Special Issue Symmetry in Cooperative Applications)
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Abstract

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. View Full-Text
Keywords: Bayesian networks; cohesion team; collaborative work; cooperative teams; naive Bayes; symmetric independencies; team dynamics; tree augmented naive Bayes Bayesian networks; cohesion team; collaborative work; cooperative teams; naive Bayes; symmetric independencies; team dynamics; tree augmented naive Bayes
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MDPI and ACS Style

Fuster-Parra, P.; García-Mas, A.; Cantallops, J.; Ponseti, F.J.; Luo, Y. Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks. Symmetry 2016, 8, 34.

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