Towards an Information Theory of Complex Networks is popular PDF and ePub book, written by Matthias Dehmer in 2011-08-26, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Towards an Information Theory of Complex Networks can be Read Online from any device for your convenience.

Towards an Information Theory of Complex Networks Book PDF Summary

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.

Detail Book of Towards an Information Theory of Complex Networks PDF

Towards an Information Theory of Complex Networks
  • Author : Matthias Dehmer
  • Release : 26 August 2011
  • Publisher : Springer Science & Business Media
  • ISBN : 9780817649043
  • Genre : Mathematics
  • Total Page : 409 pages
  • Language : English
  • PDF File Size : 17,8 Mb

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