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Book Cover
E-book

Title Network analysis : methodological foundations / Ulrik Brandes, Thomas Erlebach (eds.)
Published Berlin ; New York : Springer, ©2005

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Description 1 online resource (xii, 471 pages) : illustrations
Series Lecture notes in computer science, 0302-9743 ; 3418. Tutorial
Lecture notes in computer science ; 3418.
Lecture notes in computer science. Tutorial.
Contents Fundamentals / U. Brandes and T. Erlebach -- Centrality indices / D. Koschutzki [and others] -- Algorithms for centrality indices / R. Jacobs [and others] -- Advanced centrality concepts / D. Koschutzki [and others] -- Local density / S. Kosub -- Connectivity / F. Kammer and H. Taubig -- Clustering / M. Gaertler -- Role assignments / J. Lerner -- Blockmodels / M. Nunkesser and D. Sawitzki -- Network statistics / M. Brinkmeier and T. Schank -- Network comparison / M. Baur and M. Benkert -- Network models / N. Baumann and S. Stiller -- Spectral analysis / A. Baltz and L. Kliemann -- Robustness and resilience / G.W. Klau and R. Weiskircher
Summary 'Network' is a heavily overloaded term, so that 'network analysis' means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas
Analysis FACinfotech Computer science
ER Internet Book Full text
algoritmen
algorithms
computeranalyse
computer analysis
engineering
wiskunde
mathematics
computerwetenschappen
computer sciences
computernetwerken
computer networks
gegevensstructuren
data structures
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
Bibliography Includes bibliographical references (pages 439-466) and index
Notes English
Print version record
Subject System analysis
Mathematical models.
Systems Analysis
Models, Theoretical
systems analysis.
mathematical models.
System analysis.
Mathematical models.
Informatique.
Mathematical models
System analysis
Netwerkanalyse.
Algoritmen.
Wiskundige modellen.
Analyse de système.
Analyse de réseau.
Modèle mathématique.
Form Electronic book
Author Brandes, Ulrik.
Erlebach, Thomas.
Gesellschaft für Informatik.
ISBN 9783540319559
3540319557
3540249796
9783540249795