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9780817649036: Towards an Information Theory of Complex Networks: Statistical Methods and Applications

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ISBN 10 : 0817649034 ISBN 13 : 9780817649036

Editeur : Birkhauser Boston Inc, 2011

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Preface.- Entropy of Digraphs and Infinite Networks.- An Information-Theoretic Upper Bound on Planar Graphs Using Well-orderly Maps.- Probabilistic Inference Using Function Factorization and Divergence Minimization.- Wave Localization on Complex Networks.- Information-Theoretic Methods in Chemical Graph Theory.- On the Development and Application of Net-Sign Graph Theory.- The Central Role of Information Theory in Ecology.- Inferences About Coupling from Ecological Surveillance Monitoring.- Markov Entropy Centrality.- Social Ontologies as Generalizedd Nearly Acyclic Directed Graphs.- Typology by Means of Language Networks.- Information Theory-Based Measurement of Software.- Fair and Biased Random Walks on Undirected Graphs and Related Entropies.

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�diteurBirkhauser Boston Inc
Date d'�dition2011
ISBN 10 0817649034
ISBN 13 9780817649036
ReliureReli�
Langueanglais
Nombre de pages395
�diteurDehmer Matthias, Emmert-Streib Frank, Mehler Alexander
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ISBN 10 : 0817649034 ISBN 13 : 9780817649036

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Towards an Information Theory of Complex Networks

Dehmer, Matthias|Emmert-Streib, Frank|Mehler, Alexander

Edit� par Birkh�user Boston, 2011

ISBN 10 : 0817649034 ISBN 13 : 9780817649036

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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 r�f. du vendeur 5975923

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Towards an Information Theory of Complex Networks

Matthias Dehmer

Edit� par Birkh�user Boston Aug 2011, 2011

ISBN 10 : 0817649034 ISBN 13 : 9780817649036

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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 r�f. du vendeur 9780817649036

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Towards an Information Theory of Complex Networks

Matthias Dehmer

Edit� par Birkh�user Boston, Birkh�user Boston Aug 2011, 2011

ISBN 10 : 0817649034 ISBN 13 : 9780817649036

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Neuware -For over a decade, complex networks have steadily grown as an important tool across abroad array of academic disciplines, with applications ranging from physics to social media.A tightly organized collectionofcarefully-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'smajor 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 modelsof complex networks with an emphasis on applications. As such, itmarks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networksfor allscientific disciplines andcan serve asa valuable resource foradiverse audience of advanced students and professional scientists.While it is primarilyintendedas a reference for research,the bookcould also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 412 pp. Englisch. N� de r�f. du vendeur 9780817649036

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Towards an Information Theory of Complex Networks : Statistical Methods and Applications

Matthias Dehmer

Edit� par Birkh�user Boston, Birkh�user Boston, 2011

ISBN 10 : 0817649034 ISBN 13 : 9780817649036

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9780817649036

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