Title: Quantitative graph theory : mathematical foundations and applications
Abstract: Preface Editors Contributors What Is Quantitative Graph Theory? Matthias Dehmer, Veronika Kraus, Frank Emmert-Streib, and Stefan Pickl Localization of Graph Topological Indices via Majorization Technique Monica Bianchi, Alessandra Cornaro, Jose Luis Palacios, and Anna Torriero Wiener Index of Hexagonal Chains with Segments of Equal Length Andrey A. Dobrynin Metric-Extremal Graphs Ivan Gutman and Boris Furtula Quantitative Methods for Nowhere-Zero Flows and Edge Colorings Martin Kochol Width-Measures for Directed Graphs and Algorithmic Applications Stephan Kreutzer and Sebastian Ordyniak Betweenness Centrality in Graphs Silvia Gago, Jana Coronicova Hurajova, and Tomas Madaras On a Variant Szeged and PI Indices of Thorn Graphs Mojgan Mogharrab and Reza Sharafdini Wiener Index of Line Graphs Martin Knor and Riste Skrekovski Single-Graph Support Measures Toon Calders, Jan Ramon, and Dries Van Dyck Network Sampling Algorithms and Applications Michael Drew LaMar and Rex K. Kincaid Discrimination of Image Textures Using Graph Indices Martin Welk Network Analysis Applied to the Political Networks of Mexico Philip A. Sinclair 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 Graph Kernels in Chemoinformatics Benoit Gauzere, Luc Brun, and Didier Villemin Chemical Compound Complexity in Biological Pathways Atsuko Yamaguchi and Kiyoko F. Aoki-Kinoshita Index
Publication Year: 2014
Publication Date: 2014-11-04
Language: en
Type: book
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Cited By Count: 100
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