Dynamics On and Of Complex Networks III : Machine Learning and Statistical Physics Approaches Hardback
Edited by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra
Part of the Springer Proceedings in Complexity series
Hardback
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Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:244 pages, 68 Illustrations, color; 8 Illustrations, black and white; X, 244 p. 76 illus., 68 illus.
- Publisher:Springer Nature Switzerland AG
- Publication Date:14/05/2019
- Category:
- ISBN:9783030146825
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:244 pages, 68 Illustrations, color; 8 Illustrations, black and white; X, 244 p. 76 illus., 68 illus.
- Publisher:Springer Nature Switzerland AG
- Publication Date:14/05/2019
- Category:
- ISBN:9783030146825
