Dynamics On and Of Complex Networks III

Machine Learning and Statistical Physics Approaches

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Technology, Social & Cultural Studies, Social Science
Cover of the book Dynamics On and Of Complex Networks III by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030146832
Publisher: Springer International Publishing Publication: May 13, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030146832
Publisher: Springer International Publishing
Publication: May 13, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book The Contribution of Social Sciences to Sustainable Development at Universities by
Cover of the book Externally Heated Valve Engine by
Cover of the book Smart Structures and Materials by
Cover of the book Essays on Gödel’s Reception of Leibniz, Husserl, and Brouwer by
Cover of the book New Perspectives on Prison Masculinities by
Cover of the book Management of Extended Parotid Tumors by
Cover of the book Kalevi Holsti: A Pioneer in International Relations Theory, Foreign Policy Analysis, History of International Order, and Security Studies by
Cover of the book Achieving Competitive Advantage through Quality Management by
Cover of the book Excel 2016 for Human Resource Management Statistics by
Cover of the book Christian Faith, Formation and Education by
Cover of the book Social Media in Politics by
Cover of the book Advanced Connection Systems for Architectural Glazing by
Cover of the book Flowering Plants. Eudicots by
Cover of the book Optimization and Applications by
Cover of the book Thermal System Optimization by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy