a ~Networka (TM) is a heavily overloaded term, so that a ~network
analysisa (TM) 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.
General
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