Computational Network Analysis with R Applications in Biology Medicine and Chemistry 1st Edition Matthias Dehmer 3527691545 9783527691548

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Product details:

• ISBN 10: 3527691545
• ISBN 13: 9783527691548
• Author: Matthias Dehmer

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.

Table of contents:

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

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