There are, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From the perspective of computer science, network analysis applied graph theory. Unlike standard graph theory books, the contents of the book is organized according to the methods for a particular level of analysis (element, group, network) rather than abstract concepts such as roads, matching, or subgraphs cover. Therefore, his topics ranged from vertex centrality to graph clustering and evolution of scale-free networks. In 15 coherent chapters, this book is a tutorial monographs such as introducing and surveying the concepts and methods that drive network analysis, and thus the first book to do it from the methodological perspective independent of specific application areas.