LEADER 03593oam 2200601I 450 001 9910787301403321 005 20230807212140.0 010 $a0-429-10326-3 010 $a1-4665-8452-1 024 7 $a10.1201/b17645 035 $a(CKB)3710000000269953 035 $a(EBL)1591690 035 $a(SSID)ssj0001368648 035 $a(PQKBManifestationID)11782059 035 $a(PQKBTitleCode)TC0001368648 035 $a(PQKBWorkID)11463462 035 $a(PQKB)10042931 035 $a(MiAaPQ)EBC1591690 035 $a(OCoLC)896849824 035 $a(EXLCZ)993710000000269953 100 $a20180331h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aQuantitative graph theory $emathematical foundations and applications /$fedited by Matthias Dehmer, Institute for Theoretical Computer Science, Mathematics and Operations Research, Department of Computer Science, Universitat der Bundeswehr Munc 210 1$aBoca Raton :$cCRC Press,$d[2015] 210 4$dİ2015 215 $a1 online resource (516 p.) 225 1 $aDiscrete mathematics and its applications 300 $aDescription based upon print version of record. 311 $a1-322-63829-2 311 $a1-4665-8451-3 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Dedication; Contents; Preface; Editors; Contributors; Chapter 1 What Is Quantitative Graph Theory?; Chapter 2 Localization of Graph Topological Indices via Majorization Technique; Chapter 3 Wiener Index of Hexagonal Chains with Segments of Equal Length; Chapter 4 Metric-Extremal Graphs; Chapter 5 Quantitative Methods for Nowhere-Zero Flows and Edge Colorings; Chapter 6 Width-Measures for Directed Graphs and Algorithmic Applications; Chapter 7 Betweenness Centrality in Graphs; Chapter 8 On a Variant Szeged and PI* Indices of Thorn Graphs; Chapter 9 Wiener Index of Line Graphs 327 $aChapter 10 Single-Graph Support MeasuresChapter 11 Network Sampling Algorithms and Applications; Chapter 12 Discrimination of Image Textures Using Graph Indices; Chapter 13 Network Analysis Applied to the Political Networks of Mexico; Chapter 14 Social Network Centrality, MovementIdentification, and the Participation ofIndividuals in a Social Movement: The Case of the Canadian Environmental Movement; Chapter 15 Graph Kernels in Chemoinformatics; Chapter 16 Chemical Compound Complexity in Biological Pathways; Back Cover 330 $aThis book presents methods for analyzing graphs and networks quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques, it covers a wide range of quantitative graph-theoretical concepts and methods, including those pertaining to random graphs. Through its broad coverage, the book fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines--$cProvided by publisher. 410 0$aDiscrete mathematics and its applications. 606 $aGraph theory$xData processing 606 $aCombinatorial analysis 615 0$aGraph theory$xData processing. 615 0$aCombinatorial analysis. 676 $a511.5 686 $aCOM046000$aMAT036000$aSCI008000$2bisacsh 702 $aDehmer$b Matthias$f1968- 702 $aEmmert-Streib$b Frank 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910787301403321 996 $aQuantitative graph theory$93828976 997 $aUNINA