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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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.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Theoretical Computer Science and General Issues, 3418 |
Release date | February 2005 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2005 |
Editors | Ulrik Brandes, Thomas Erlebach |
Dimensions | 235 x 155 x 24mm (L x W x T) |
Format | Paperback |
Pages | 472 |
Edition | 2005 ed. |
ISBN-13 | 978-3-540-24979-5 |
Barcode | 9783540249795 |
Categories | |
LSN | 3-540-24979-6 |