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Product details:
- ISBN 10: 3527693254
- ISBN 13: 9783527693252
- Author: Matthias Dehmer
This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory. An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range from analyzing mathematical properties of methods right up to applying them in real-life areas. Filling a gap in the contemporary literature this is an invaluable reference for a number of disciplines, including mathematicians, computer scientists, computational biologists, and structural chemists.
Table of contents:
Chapter 1: Entropy and Renormalization in Chaotic Visibility Graphs
Chapter 2: Generalized Entropies of Complex and Random Networks
Chapter 3: Information Flow and Entropy Production on Bayesian Networks
Chapter 4: Entropy, Counting, and Fractional Chromatic Number
Chapter 5: Graph Entropy: Recent Results and Perspectives
Chapter 6: Statistical Methods in Graphs: Parameter Estimation, Model Selection, and Hypothesis Test
Chapter 7: Graph Entropies in Texture Segmentation of Images
Chapter 8: Information Content Measures and Prediction of Physical Entropy of Organic Compounds
Chapter 9: Application of Graph Entropy for Knowledge Discovery and Data Mining in Bibliometric Data
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