eBook - ePub
Computational Network Theory
Theoretical Foundations and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Computational Network Theory
Theoretical Foundations and Applications
About this book
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.
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Yes, you can access Computational Network Theory by Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl in PDF and/or ePUB format, as well as other popular books in Medicine & Biostatistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Titles of the Series “Quantitative and Network Biology”
- Related Titles
- Title Page
- Copyright
- Table of Contents
- Dedication
- Preface
- List of Contributors
- Chapter 1: Model Selection for Neural Network Models: A Statistical Perspective
- Chapter 2: Measuring Structural Correlations in Graphs
- Chapter 3: Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction
- Chapter 4: Contagion in Interbank Networks
- Chapter 5: Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks
- Chapter 6: Computing in Dynamic Networks
- Chapter 7: Visualization and Interactive Analysis for Complex Networks by means of Lossless Network Compression
- Index
- End User License Agreement