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This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. §Towards this goal, the work is thematically organized into three main sections: Part I studies the application of complex networks to biological problems; Part II focuses on social networks; and Part III is an overview of networks prevalent in the information sciences. Specific topics and features include: a comprehensive and concise presentation of current research from experts in various disciplines compiled in one volume; relevant reviews of important work in the field; independent research reports from a variety of disciplines; coverage of complex networks found in nature genetic pathways, ecological networks, linguistic systems, and social systems as well as man-made systems such as the World Wide Web and peer-to-peer networks; and a glossary of essential terms related to complex networks. §The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.
