Network analysis : methodological foundations

Resource Information

The work Network analysis : methodological foundations represents a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool. This resource is a combination of several types including: Work, Multimedia, Software, Computer Files.

Label

Network analysis : methodological foundations

Title remainder

methodological foundations

Statement of responsibility

edited by Ulrik Brandes, Thomas Erlebach

Contributor

• Gesellschaft für Informatik
• Brandes, Ulrik
• Erlebach, Thomas

Subject

• Mathematical Models
• System analysis
• Graph theory

Language

eng

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

Cataloging source

DE-He213

Characteristic

online system or service

Image bit depth

0

LC call number

QA402

LC item number

.N48 2005

Series statement

Lecture Notes in Computer Science

Series volume

3418