Network Analysis: Methodological Foundations: 3418 - Brossura

 
9783540249795: Network Analysis: Methodological Foundations: 3418
Brossura
ISBN 10: 3540249796 ISBN 13: 9783540249795
Casa editrice: Springer, 2005

Sinossi

'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.

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Contenuti

Fundamentals.- I Elements.- Centrality Indices.- Algorithms for Centrality Indices.- Advanced Centrality Concepts.- II Groups.- Local Density.- Connectivity.- Clustering.- Role Assignments.- Blockmodels.- Network Statistics.- Network Comparison.- Network Models.- Spectral Analysis.- Robustness and Resilience.

Product Description

Book by None

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Editore
Springer
Data di pubblicazione
2005
Lingua
Inglese
ISBN 10 
3540249796
ISBN 13 
9783540249795
Rilegatura
Copertina flessibile
Numero di pagine
488
Redattore
Brandes Ulrik, Erlebach Thomas
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
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