Quantitative Graph Theory
eBook - PDF

Quantitative Graph Theory

Mathematical Foundations and Applications

  1. 528 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

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 & Operating Systems. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Dedication
  3. Contents
  4. Preface
  5. Editors
  6. Contributors
  7. Chapter 1 What Is Quantitative Graph Theory?
  8. Chapter 2 Localization of Graph Topological Indices via Majorization Technique
  9. Chapter 3 Wiener Index of Hexagonal Chains with Segments of Equal Length
  10. Chapter 4 Metric-Extremal Graphs
  11. Chapter 5 Quantitative Methods for Nowhere-Zero Flows and Edge Colorings
  12. Chapter 6 Width-Measures for Directed Graphs and Algorithmic Applications
  13. Chapter 7 Betweenness Centrality in Graphs
  14. Chapter 8 On a Variant Szeged and PI* Indices of Thorn Graphs
  15. Chapter 9 Wiener Index of Line Graphs
  16. Chapter 10 Single-Graph Support Measures
  17. Chapter 11 Network Sampling Algorithms and Applications
  18. Chapter 12 Discrimination of Image Textures Using Graph Indices
  19. Chapter 13 Network Analysis Applied to the Political Networks of Mexico
  20. Chapter 14 Social Network Centrality, MovementIdentification, and the Participation ofIndividuals in a Social Movement: The Case of the Canadian Environmental Movement
  21. Chapter 15 Graph Kernels in Chemoinformatics
  22. Chapter 16 Chemical Compound Complexity in Biological Pathways
  23. Back Cover