Towards an Information Theory of Complex Networks - Statistical Methods and Applications (Hardcover, 2011)

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.

General

Imprint:	Birkhauser Boston
Country of origin:	United States
Release date:	August 2011
First published:	2011
Editors:	Matthias Dehmer • Frank Emmert-Streib • Alexander Mehler
Dimensions:	235 x 155 x 28mm (L x W x T)
Format:	Hardcover
Pages:	395
Edition:	2011
ISBN-13:	978-0-8176-4903-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	0-8176-4903-4
Barcode:	9780817649036

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