Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches (1st ed. 2019) (Springer Proceedings in Complexity)

By: Bivas Mitra and Fakhteh Ghanbarnejad and Rishiraj Saha Roy and Fariba Karimi and Jean-Charles Delvenne

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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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030146832
Related ISBNs:: 9783030146825
Publisher:: Springer International Publishing
Date of Addition:: 07/17/19
Copyrighted By:: Springer Nature Switzerland AG
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Technology, Social Studies, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Fakhteh Ghanbarnejad
Edited by:: Rishiraj Saha Roy
Edited by:: Fariba Karimi
Edited by:: Jean-Charles Delvenne
Edited by:: Bivas Mitra