Dynamics On and Of Complex Networks III

Dynamics On and Of Complex Networks III

Author: Fakhteh Ghanbarnejad

Publisher: Springer

ISBN: 9783030146832

Category: Science

Page: 244

View: 475

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.
Dynamics On and Of Complex Networks III
Language: en
Pages: 244

Dynamics On and Of Complex Networks III

Authors: Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra
Categories: Science
Type: BOOK - Published: 2019-05-13 - Publisher: Springer

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
Dynamics On and Of Complex Networks
Language: en
Pages: 310

Dynamics On and Of Complex Networks

Authors: Niloy Ganguly, Andreas Deutsch, Animesh Mukherjee
Categories: Computers
Type: BOOK - Published: 2009-04-14 - Publisher: Springer Science & Business Media

This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is
Dynamics On and Of Complex Networks, Volume 2
Language: en
Pages: 343

Dynamics On and Of Complex Networks, Volume 2

Authors: Animesh Mukherjee, Monojit Choudhury, Fernando Peruani, Niloy Ganguly, Bivas Mitra
Categories: Mathematics
Type: BOOK - Published: 2013-06-04 - Publisher: Birkhäuser

This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks. In the constantly changing modern world, there is an urgent need to understand problems related to systems that dynamically evolve in either structure or function, or both. This work is
Dynamics On and Of Complex Networks, Volume 2
Language: en
Pages: 343

Dynamics On and Of Complex Networks, Volume 2

Authors: Animesh Mukherjee, Monojit Choudhury, Fernando Peruani, Niloy Ganguly, Bivas Mitra
Categories: Mathematics
Type: BOOK - Published: 2013-06-04 - Publisher: Springer Science & Business Media

This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks. In the constantly changing modern world, there is an urgent need to understand problems related to systems that dynamically evolve in either structure or function, or both. This work is
Modularity and Dynamics on Complex Networks
Language: en
Pages:

Modularity and Dynamics on Complex Networks

Authors: Renaud Lambiotte, Michael T. Schaub
Categories: Science
Type: BOOK - Published: 2022-01-31 - Publisher: Cambridge University Press

Complex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the