Description: Towards an Information Theory of Complex Networks : Statistical Methods and Applications, Hardcover by Dehmer, Matthias (EDT); Emmert-streib, Frank (EDT); Mehler, Alexander (EDT), ISBN 0817649034, ISBN-13 9780817649036, Brand New, Free shipping in the US 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. Th'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, th could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.
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Book Title: Towards an Information Theory of Complex Networks : Statistical M
Number of Pages: Xvi, 395 Pages
Language: English
Publication Name: Towards an Information Theory of Complex Networks : Statistical Methods and Applications
Publisher: Birkhäuser Boston
Subject: Information Theory, Telecommunications, Applied
Publication Year: 2011
Type: Textbook
Item Weight: 27.5 Oz
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Author: Frank Emmert-Streib
Item Width: 6.1 in
Format: Hardcover
