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.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 412 pp. Englisch. N° de réf. du vendeur 9780817649036
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Etat : New. Pesents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. This title advocates and promotes a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. Editor(s): Dehmer, Matthias; Emmert-Streib, Frank; Mehler, Alexander. Num Pages: 395 pages, 114 black & white illustrations, 39 black & white tables, biography. BIC Classification: GPFC; PBT; PBW; TJK. Category: (P) Professional & Vocational. Dimension: 244 x 163 x 28. Weight in Grams: 740. . 2011. 2011th Edition. hardcover. . . . . N° de réf. du vendeur V9780817649036
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on the market giving a comprehensive look at the applications of information-theoretic models for complex networksSynthesizes graph-theoretic, statistical, and information-theoretic methods to effectively understand and characterize rea. N° de réf. du vendeur 5975923
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Buch. Etat : Neu. Towards an Information Theory of Complex Networks | Statistical Methods and Applications | Matthias Dehmer (u. a.) | Buch | xvi | Englisch | 2011 | Birkhäuser | EAN 9780817649036 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 101317368
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