| Network Analysis: Methodological Foundations 2005 Edition Contributor(s): Brandes, Ulrik (Editor), Erlebach, Thomas (Editor) |
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ISBN: 3540249796 ISBN-13: 9783540249795 Publisher: Springer OUR PRICE: $80.74 Product Type: Paperback - Other Formats Published: February 2005 Annotation: ?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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| Additional Information |
| BISAC Categories: - Mathematics | Discrete Mathematics - Computers | Networking - Hardware - Computers | Computer Science |
| Dewey: 004.21 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 1.06" H x 9.28" W x 6.19" (1.58 lbs) 472 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: '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. |