Computational Approaches to the Network Science of Teams
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Computational Approaches to the Network Science of Teams

SKU: 9781108598057

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Additional information

Full Title

Computational Approaches to the Network Science of Teams
Author(s)

Liangyue Li, Hanghang Tong
Edition
ISBN

9781108598057, 9781108498548
Publisher

Cambridge University Press
Format

PDF and EPUB

Description

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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Computational Approaches to the Network Science of Teams
-58%
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Computational Approaches to the Network Science of Teams

SKU: 9781108580236

Original price was: $59.00.Current price is: $24.99.

Access Computational Approaches to the Network Science of Teams Now. Discount up to 90%

Categories: ,

Additional information

Full Title

Computational Approaches to the Network Science of Teams
Author(s)

Liangyue Li, Hanghang Tong
Edition
ISBN

9781108580236, 9781108498548
Publisher

Cambridge University Press
Format

PDF and EPUB

Description

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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