Work

Understanding Team Collapse via Probabilistic Graphical Models

Year: 2025

Type: conference-paper

Abstract: In this work, we develop a graphical model to capture team dynamics. We analyze the model and show how to learn its parameters from data. Using our model we study the phenomenon of team collapse from a computational perspective. We use simulations and real-world experiments to find the main causes of team collapse. We also provide the principles of building resilient teams, i.e., teams that avoid collapsing. Finally, we use our model to analyze the structure of NBA teams and dive deeper into games of interest.

Source: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/3690624.3709386

Authors: Iasonas Nikolaou, Konstantinos Pelechrinis, Evimaria Terzi

Institutions: Boston University, University of Pittsburgh

Language: English

Topic: Sports Analytics and Performance

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4409149169

FWCI: 6.069

Cites: 26

Cited by: 1

Related to: 10