Liangyue Li

Computational Approaches to the Network Science of Teams (eBook, PDF)

• Format: PDF

Produktbeschreibung

Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 3. Dezember 2020
• Englisch
• ISBN-13: 9781108598057
• Artikelnr.: 66178570

Autorenporträt

Liangyue Li is an applied scientist at Amazon. He received his PhD in computer science from Arizona State University. He has served as a program committee member in top data-mining and artificial intelligence venues (such as SIGKDD, ICML, AAAI and CIKM). He has given a tutorial at WSDM 2018, KDD 2018, and a keynote talk at CIKM 2016 Workshop on Big Network Analytics (BigNet 2016).

Inhaltsangabe

1. Introduction
2. Team performance characterization
3. Team performance prediction
4. Team performance optimization
5. Team performance explanation
6. Human agent teaming
7. Conclusion and future work.