Code: 09060944

Quantitative Graph Theory

Name: Quantitative Graph Theory
Brand: Taylor & Francis Inc
SKU: 09060944
Price: 264.39 EUR
Availability: BackOrder
Author: Matthias Dehmer
ISBN: 9781466584518

by Matthias Dehmer

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. Incorp ... more

Language: English
Binding: Hardback
Number of pages: 528
Publisher: Taylor & Francis Inc, 2014
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Book synopsis

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 techniques, this book covers a wide range of quantitative-graph theoretical concepts and methods, including those pertaining to real and random graphs such as:

Comparative approaches (graph similarity or distance)

Graph measures to characterize graphs quantitatively

Applications of graph measures in social network analysis and other disciplines

Metrical properties of graphs and measures

Mathematical properties of quantitative methods or measures in graph theory

Network complexity measures and other topological indices

Quantitative approaches to graphs using machine learning (e.g., clustering)

Graph measures and statistics

Information-theoretic methods to analyze graphs quantitatively (e.g., entropy)

Through its broad coverage, Quantitative Graph Theory: Mathematical Foundations and Applications fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines. It is intended for researchers as well as graduate and advanced undergraduate students in the fields of mathematics, computer science, mathematical chemistry, cheminformatics, physics, bioinformatics, and systems biology.