Dynamics On and Of Complex Networks III | Machine Learning and Statistical Physics Approaches

Fakhteh Ghanbarnejad (u. a.)

ISBN 10: 3030146820 / ISBN 13: 9783030146825

Published by Springer International Publishing, 2019

About this Item

Dynamics On and Of Complex Networks III | Machine Learning and Statistical Physics Approaches | Fakhteh Ghanbarnejad (u. a.) | Buch | x | Englisch | 2019 | Springer International Publishing | EAN 9783030146825 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 115362675

Bibliographic Details

• Title: Dynamics On and Of Complex Networks III | Machine Learning and Statistical Physics Approaches
• Publisher: Springer International Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 3030146820
• ISBN 13: 9783030146825
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 20D millimeters 241 millimeters width by 160 millimeters height by 20 millimeters depth
• Weight: 553 grams
• Seller catalogs:
  • Bücher

About this title

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.