This book provides a comprehensive review of complex networks from three different domains, presents novel methods for analyzing them, and highlights applications with accompanying case studies. Special emphasis is placed on three specific kinds of complex networks of high technological and scientific importance: software networks extracted from the source code of computer programs, ontology networks describing semantic web ontologies, and co-authorship networks reflecting collaboration in science. The book is primarily intended for researchers, teachers and students interested in complex networks and network data analysis. However, it will also be valuable for researchers dealing with software engineering, ontology engineering and scientometrics, as it demonstrates how complex network analysis can be used to address important research issues in these three disciplines.

Presents recent research on complex networks representing engineered and self-organized social systems Places special emphasis on the extraction, analysis and applications of software, ontology, and co-authorship networks Explains how metrics, models, and techniques developed in the framework of complex network theory can be applied in software engineering, ontology engineering, and scientometrics

Inhalt
Introduction to Complex Networks.- Fundamentals of Complex Network Analysis.- Analysis of Software Networks.- Analysis of Ontology Networks.- Co-authorship Networks: An Introduction.- Extraction of Co-authorship Networks.- Analysis of Co-authorship Networks.