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Dynamics On and Of Complex Networks III

Machine Learning and Statistical Physics Approaches
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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.
Release date NZ
August 14th, 2020
Contributors
  • Edited by Bivas Mitra
  • Edited by Fakhteh Ghanbarnejad
  • Edited by Fariba Karimi
  • Edited by Jean-Charles Delvenne
  • Edited by Rishiraj Saha Roy
Pages
244
Edition
1st ed. 2019
Audience
  • Professional & Vocational
Illustrations
68 Illustrations, color; 8 Illustrations, black and white; X, 244 p. 76 illus., 68 illus. in color.
ISBN-13
9783030146856
Product ID
33689557

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