eBook - ePub
Quantitative Graph Theory
Mathematical Foundations and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Quantitative Graph Theory
Mathematical Foundations and Applications
About this book
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical technique
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Yes, you can access Quantitative Graph Theory by Matthias Dehmer,Frank Emmert-Streib in PDF and/or ePUB format, as well as other popular books in Computer Science & Counting & Numeration. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Halftitle Page
- DISCRETE MATHEMATICS ITS APPLICATIONS
- Title Page
- Copyright Page
- Dedication Page
- Contents
- Preface
- Editors
- Contributors
- Chapter 1 What Is Quantitative Graph Theory?
- Chapter 2 Localization of Graph Topological Indices via Majorization Technique
- Chapter 3 Wiener Index of Hexagonal Chains with Segments of Equal Length
- Chapter 4 Metric-Extremal Graphs
- Chapter 5 Quantitative Methods for Nowhere-Zero Flows and Edge Colorings
- Chapter 6 Width-Measures for Directed Graphs and Algorithmic Applications
- Chapter 7 Betweenness Centrality in Graphs
- Chapter 8 On a Variant Szeged and PI Indices of Thorn Graphs
- Chapter 9 Wiener Index of Line Graphs
- Chapter 10 Single-Graph Support Measures
- Chapter 11 Network Sampling Algorithms and Applications
- Chapter 12 Discrimination of Image Textures Using Graph Indices
- Chapter 13 Network Analysis Applied to the Political Networks of Mexico
- Chapter 14 Social Network Centrality, Movement Identification, and the Participation of Individuals in a Social Movement: The Case of the Canadian Environmental Movement
- Chapter 15 Graph Kernels in Chemoinformatics
- Chapter 16 Chemical Compound Complexity in Biological Pathways