Téléchargez le livre : Towards an Information Theory of Complex Networks

Towards an Information Theory of Complex Networks

Statistical Methods and Applications de

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Éditeur :

Birkhäuser


Paru le : 2011-08-26

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Description

For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A  tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks.
This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for research, the book could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.
Pages
395 pages
Collection
n.c
Parution
2011-08-26
Marque
Birkhäuser
EAN papier
9780817649036
EAN PDF
9780817649043
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
8653 Ko
Prix
94,94 €
EAN EPUB
9780817649043
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
9134 Ko
Prix
94,94 €

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