Computational Approaches to the Network Science of Teams - Li, Liangyue; Tong, Hanghang (University of Illinois, Urbana-Champaign)
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This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, and explaining team performance, plus key applications, open challenges, and future trends.

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Produktbeschreibung
This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, and explaining team performance, plus key applications, open challenges, and future trends.
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).