Towards an Information Theory of Complex Networks: Statistical Methods and Applications (2011)
By: and and
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- Synopsis
- 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.
- Copyright:
- 2011
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9780817649043
- Related ISBNs:
- 9780817649036
- Publisher:
- Birkhäuser Boston
- Date of Addition:
- 03/13/21
- Copyrighted By:
- Springer Science+Business Media, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Alexander Mehler
- Edited by:
- Frank Emmert-Streib
- Edited by:
- Matthias Dehmer
Reviews
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- by Alexander Mehler
- by Matthias Dehmer
- by Frank Emmert-Streib
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics
- in Communication