
Computational Network Theory
Theoretical Foundations and Applications
Wiley-Blackwell (Publisher)
1st Edition
Published on 7. October 2015
Book
Hardback
XXXIV, 242 pages
978-3-527-33724-8 (ISBN)
Article exhausted; check different version
Description
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data.
The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques.
With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.
The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques.
With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.
Reviews / Votes
"The authors present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogeneous style, this reference is equally suitable for courses on computational networks." (Zentralblatt MATH 2016)More details
Series
Edition
1. Auflage
Language
English
Place of publication
Berlin
Germany
Publishing group
Wiley-VCH
Target group
Professional and scholarly
Illustrations
93
69 s/w Abbildungen, 24 farbige Abbildungen
Dimensions
Height: 24.4 cm
Width: 17 cm
Thickness: 1.9 cm
Weight
758 gr
ISBN-13
978-3-527-33724-8 (9783527337248)
Schweitzer Classification
Other editions
Additional editions

Matthias Dehmer | Frank Emmert-Streib | Stefan Pickl
Computational Network Theory
Theoretical Foundations and Applications
E-Book
05/2015
1st Edition
Wiley-Blackwell
€108.99
Available for download

Matthias Dehmer | Frank Emmert-Streib | Stefan Pickl
Computational Network Theory
Theoretical Foundations and Applications
E-Book
04/2015
1st Edition
Wiley-Blackwell
€108.99
Available for download
Persons
Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna University of Technology, and University of Coimbra (Portugal). He obtained his habilitation in applied discrete mathematics from the Vienna University of Technology. Currently, he is Professor at UMIT - The Health and Life Sciences University (Austria) and also holds a position at the Universität der Bundeswehr München. His research interests are in applied mathematics, bioinformatics, systems biology, graph theory, complexity and information theory. He has written over 180 publications in his research areas.
Frank Emmert-Streib studied physics at the University of Siegen (Germany) gaining his PhD in theoretical physics from the University of Bremen (Germany). He received postdoctoral training from the Stowers Institute for Medical Re- search (Kansas City, USA) and the University of Washington (Seattle, USA). Currently, he is an associate professor at the Queen's University Belfast (UK) at the Center for Cancer Research and Cell Biology heading the Computational Biology and Machine Learning Laboratory. His main research interests are in the field of computational medicine, network biology and statistical genomics.
Frank Emmert-Streib studied physics at the University of Siegen (Germany) gaining his PhD in theoretical physics from the University of Bremen (Germany). He received postdoctoral training from the Stowers Institute for Medical Re- search (Kansas City, USA) and the University of Washington (Seattle, USA). Currently, he is an associate professor at the Queen's University Belfast (UK) at the Center for Cancer Research and Cell Biology heading the Computational Biology and Machine Learning Laboratory. His main research interests are in the field of computational medicine, network biology and statistical genomics.
Editor
Queen's University, Belfast, United Kingdom
Series Editor
UMIT Health and Life Sciences University, Hall, Austria
Content
Model Selection for Neural Network Models: a Statistical Perspective
Measuring Structural Correlations in Graphs
Spectral Graph Theory and Structural Analysis of Complex Networks: an Introduction
Contagion in Interbank Networks
Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks
Computing in Dynamic Networks
Visualization and Interactive Analysis for Complex Networks by means of Lossless Network Compression
Measuring Structural Correlations in Graphs
Spectral Graph Theory and Structural Analysis of Complex Networks: an Introduction
Contagion in Interbank Networks
Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks
Computing in Dynamic Networks
Visualization and Interactive Analysis for Complex Networks by means of Lossless Network Compression