Betweenness Centrality in Graphs
Visualitza/Obre
Capitulo7.pdf (10,45Mb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/24904
Tipus de documentCapítol de llibre
Data publicació2014-10-27
EditorCRC Press Taylor & Francis Group
Condicions d'accésAccés restringit per política de l'editorial
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
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.
CitacióGago, S.; Coronicová Hurajová, J.; Madaras, T. Betweenness Centrality in Graphs. A: "Quantitative graph theory: Mathematical foundations and applications". CRC Press Taylor & Francis Group, 2014, p. 233-257.
ISBN9781466584518
Versió de l'editorhttp://www.crcpress.com/product/isbn/9781466584518
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Capitulo7.pdf | 10,45Mb | Accés restringit |