Overview
- First book on the market giving a comprehensive look at the applications of information-theoretic models for complex networks
- Synthesizes graph-theoretic, statistical, and information-theoretic methods to effectively understand and characterize real-world networks
- Addresses a broad range of disciplines, including quantitative biology, quantitative chemistry, quantitative sociology, and quantitative linguistics
- Caters to both researchers and scholars across the sciences
- Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (13 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Towards an Information Theory of Complex Networks
Book Subtitle: Statistical Methods and Applications
Editors: Matthias Dehmer, Frank Emmert-Streib, Alexander Mehler
DOI: https://doi.org/10.1007/978-0-8176-4904-3
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-0-8176-4903-6Published: 30 August 2011
eBook ISBN: 978-0-8176-4904-3Published: 26 August 2011
Edition Number: 1
Number of Pages: XVI, 395
Number of Illustrations: 114 b/w illustrations
Topics: Information and Communication, Circuits, Coding and Information Theory, Physiological, Cellular and Medical Topics, Communications Engineering, Networks, Artificial Intelligence, Applications of Mathematics