This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.

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The wide interdisciplinary approach is emphasized by the various chapters, which start with an introduction to the basic notation and definitions, based on graph theory, followed by an overview of the main classes of models: static random networks and evolving random networks ... The book also includes a detailed list of references, spanning a wide spectrum of disciplines, which underline the importance of the interdisciplinary approach in this field.
-- CERN Courier

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