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Modeling teams performance using deep representational learning on graphs
journal contribution
posted on 2024-03-14, 04:30 authored by Francesco CarliFrancesco Carli, Pietro Foini, Nicolo Gozzi, Nicola Perra, Rossano SchifanellaAbstractMost human activities require collaborations within and across formal or informal teams. Our understanding of how the collaborative efforts spent by teams relate to their performance is still a matter of debate. Teamwork results in a highly interconnected ecosystem of potentially overlapping components where tasks are performed in interaction with team members and across other teams. To tackle this problem, we propose a graph neural network model to predict a team’s performance while identifying the drivers determining such outcome. In particular, the model is based on three architectural channels: topological, centrality, and contextual, which capture different factors potentially shaping teams’ success. We endow the model with two attention mechanisms to boost model performance and allow interpretability. A first mechanism allows pinpointing key members inside the team. A second mechanism allows us to quantify the contributions of the three driver effects in determining the outcome performance. We test model performance on various domains, outperforming most classical and neural baselines. Moreover, we include synthetic datasets designed to validate how the model disentangles the intended properties on which our model vastly outperforms baselines.
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Journal
EPJ DATA SCIENCEVolume
13Article number
ARTN 7Location
Berlin, GermanyPublisher DOI
ISSN
2193-1127eISSN
2193-1127Language
EnglishPublication classification
C1.1 Refereed article in a scholarly journalIssue
1Publisher
SPRINGERUsage metrics
Keywords
Science & TechnologySocial SciencesPhysical SciencesMathematics, Interdisciplinary ApplicationsSocial Sciences, Mathematical MethodsMathematicsMathematical Methods In Social SciencesTeam performanceGraph neural networksGraph representation learningSub-graph classificationNEURAL-NETWORKCOLLABORATIONPERSONALITY1 Underpinning research1.1 Normal biological development and functioning
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