Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches (Springer Proceedings in Complexity) - Softcover

Book 29 of 45: Springer Proceedings in Complexity
 
9783030146856: Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches (Springer Proceedings in Complexity)
Softcover
ISBN 10: 3030146855 ISBN 13: 9783030146856
Publisher: Springer, 2020

Synopsis

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes.

The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.

"synopsis" may belong to another edition of this title.

From the Back Cover

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes.

The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2020
Language
English
ISBN 10 
3030146855
ISBN 13 
9783030146856
Binding
Paperback
Edition number
1
Number of pages
254
Editor
Ghanbarnejad Fakhteh, Saha Roy Rishiraj, Karimi Fariba, Delvenne Jean-Charles, Mitra Bivas

Other Popular Editions of the Same Title

9783030146825: Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches: 3 (Springer Proceedings in Complexity)

Featured Edition

ISBN 10:  3030146820 ISBN 13:  9783030146825
Publisher: Springer, 2019
Hardcover