TY  - BOOK
AU  - Dehmer,Matthias
AU  - Emmert-Streib,Frank
TI  - Quantitative graph theory: mathematical foundations and applications 
T2  - Discrete mathematics and its applications
SN  - 9781466584518 (hardback)
U1  - 511.5 23
PY  - 2015///
CY  - Boca Raton :  
PB  - CRC Press, 
KW  - Graph theory
KW  - Data processing
KW  - Combinatorial analysis
N1  - Includes bibliographical references and index; 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, José 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, Jan Coroničová Hurajová, and Tomáš 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 Škrekovski --
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 / Benoǐt Gaüzère, Luc Brun, and Didier Villemin --
16. Chemical compound complexity in biological pathways / Atsuko Yamaguchi and Kiyoko F. Aoki-Kinoshita--
Index
N2  - 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
ER  -