"An excellent introduction book on the statistical mechanics approach of networks... I believe that this book has contributed another step in integrating the vast multi-disciplinary approaches in network science."
Laurent Tambayong, Journal of Artificial Societies and Social Simulation
"... the book does a terrific and admirable job at putting some order into the wealth of research that has emerged during the last decade, providing an overview of the current state of the art, and guiding the reader to relevant sources of information. The impressive body of techniques and applications covered in the book gives a resounding answer to the critics, perhaps more convincing than the arguments at the book's end. This is a fantastic resource book on dynamical processes on complex networks, and its wide scope promises to keep it relevant for several years to come."
Daniel ben-Avraham, Journal of Statistical Physics
"... a very useful book that fills an important gap in the market of books on networks. I will be opening this book whenever I want to start modeling a dynamical process on a network."
Dr Tim Evans, Imperial College London for Contemporary Physics
"The book does a remarkably good job in getting to the mathematical foundations of dynamical processes and complex networks. Hence, it should belong in the bookshelf of any sociologist who is seriously interested in complex and dynamic networks. It gives a great overview of techniques in the field and provides the mathematical depth one wishes for in a manner sociologists can understand. In sum, the book has potential to become a reference like Wasserman and Faust (1994) and offers significant (technical) value to sociologists who seriously want to get into the mathematics behind dynamical processes and complex networks."
Thomas U. Grund, Universite de Montreal for Journal of Mathematical Sociology
An in-depth account on the effect of complex connectivity patterns on dynamical phenomena, this book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to easily access the sections of most interest to them.