
Title:
Quantitative graph theory : mathematical foundations and applications
Author:
Dehmer, Matthias, 1968- editor.
ISBN:
9780429103261
Physical Description:
1 online resource
Series:
Discrete mathematics and its applications
Discrete mathematics and its applications.
Contents:
1. What is quantitative graph theory? / Matthias Dehmer, Veronika Kraus, Frank Emmert-Streib, and Stefan Pickl -- 2. Localization of graph topological indices via majorization technique / Monica Bianchi, Alessandra Cornaro, Jose Luis Palacios, and Anna Torriero -- 3. Wiener index of hexagonal chains with segments of equal length / Andrey A. Dobrynin -- 4. Metric-extremal graphs / Ivan Gutman and Boris Furtula -- 5. Quantitative methods for nowhere-zero flows and edge colorings / Martin Kochol -- 6. Width-measures for directed graphs and algorithmic applications / Stephan Kreutzer and Sebastian Ordyniak -- 7. Betweenness centrality in graphs / Silvia Gago, Jana Coronicova Hurajova, and Tomas Madaras -- 8. On a variant Szeged and PI indices of Thorn graphs / Mojgan Mogharrab and Reza Sharafdini -- 9. Wiener index of line graphs / Martin Knor and Riste Skrekovski -- 10. Single-graph support measures / Toon Calders, Jan Ramon, and Dries Van Dyck -- 11. Network sampling algorithms and applications / Michael Drew LaMar and Rex K. Kincaid -- 12. Discrimination of image textures using graph indices / Martin Welk -- 13. Network analysis applied to the political networks of Mexico / Philip A. Sinclair -- 14. Social network centrality, movement identification, and the participation of individuals in a social movement : the case of the Canadian environmental movement / David B. Tindall, Joanna L. Robinson, and Mark C.J. Stoddart -- 15. Graph kernels in chemoinformatics / Benoit Gauzere, Luc Brun, and Didier Villemin -- 16. Chemical compound complexity in biological pathways / Atsuko Yamaguchi and Kiyoko F. Aoki-Kinoshita.
Abstract:
This book presents methods for analyzing graphs and networks quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques, it covers a wide range of quantitative graph-theoretical concepts and methods, including those pertaining to random graphs. Through its broad coverage, the book fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines-- Provided by publisher.
Electronic Access:
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Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 542755-1001 | QA166 .Q36 2015 | Searching... | Searching... |
