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Computational Approaches to the Network Science of Teams (Hardcover) Loot Price: R784
Discovery Miles 7 840
You Save: R483 (38%)
Computational Approaches to the Network Science of Teams (Hardcover): Liangyue Li, Hanghang Tong

Computational Approaches to the Network Science of Teams (Hardcover)

Liangyue Li, Hanghang Tong

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List price R1,267 Loot Price R784 Discovery Miles 7 840 | Repayment Terms: R73 pm x 12* You Save R483 (38%)

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: December 2020
Authors: Liangyue Li • Hanghang Tong
Dimensions: 234 x 156 x 13mm (L x W x T)
Format: Hardcover
Pages: 164
ISBN-13: 978-1-108-49854-8
Categories: Books > Reference & Interdisciplinary > Communication studies > Research methods
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society
Books > Social sciences > Sociology, social studies > Social institutions > General
Books > Business & Economics > Business & management > Management of specific areas > General
Books > Computing & IT > Applications of computing > Databases > General
LSN: 1-108-49854-X
Barcode: 9781108498548

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