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Analysis of complex networks : from biology to linguistics /

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with speci...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Dehmer, Matthias, 1968-, Emmert-Streib, Frank
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Weinheim : Wiley-VCH, ©2009.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 0 0 |a Analysis of complex networks :  |b from biology to linguistics /  |c edited by Matthias Dehmer and Frank Emmert-Streib. 
260 |a Weinheim :  |b Wiley-VCH,  |c ©2009. 
300 |a 1 online resource (xviii, 462 pages) :  |b illustrations (some color) 
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504 |a Includes bibliographical references and index. 
505 0 |a Analysis of Complex Networks From Biology to Linguistics; Contents; Preface; List of Contributors; 1 Entropy, Orbits, and Spectra of Graphs; 2 Statistical Mechanics of Complex Networks; 3 A Simple Integrated Approach to Network Complexity and Node Centrality; 4 Spectral Theory of Networks: From Biomolecular to Ecological Systems; 5 On the Structure of Neutral Networks of RNA Pseudoknot Structures; 6 Graph Edit Distance -- Optimal and Suboptimal Algorithms with Applications; 7 Graph Energy; 8 Generalized Shortest Path Trees: A Novel Graph Class by Example of Semiotic Networks. 
520 |a Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience. 
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650 0 |a Information networks. 
650 0 |a Graph theory. 
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700 1 |a Dehmer, Matthias,  |d 1968- 
700 1 |a Emmert-Streib, Frank. 
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