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The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. For example, a vast number of everyday systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This new and recent account presents a comprehensive explanation of these effects.
- Sales Rank: #1466698 in Books
- Published on: 2008-11-24
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x .83" w x 6.85" l, 1.90 pounds
- Binding: Hardcover
- 366 pages
Review
"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
About the Author
Alain Barrat is Senior Researcher at the Centre de Physique Théorique (CNRS and Aix-Marseille University, France) and at the Institute for Scientific Interchange in Turin, Italy. His research interests are in the field of out-of-equilibrium statistical mechanics.
Marc Barthélemy is Senior Researcher at the Institute for Theoretical Physics (IPhT) at the Commissariat ... l'Énergie Atomique et aux Energies Alternatives (CEA), France. His research interests are in the application of statistical physics to complex systems.
Alessandro Vespignani is Sternberg Distinguished Professor in Physics, Computer Science and Health Science at Northeastern University, USA. He is also Fellow of the Institute for Quantitative Social Sciences at Harvard University and Scientific Director of the Institute for Scientific Interchange Foundation in Italy.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Two Stars
By Book_Reader
I did not find this book either useful or entertaining.
11 of 14 people found the following review helpful.
A Definitive Work
By Michael D. Conover
A clearly written, authoritative account of the mechanisms acting on complex networks, this book is indispensable to social scientists, physicists, web researchers, and biologists alike. The text is well-organized and provides a structured, rigorous introduction to network science in the first three chapters and continues into the theory of dynamical processes, phase transitions, robustness, synchronization phenomena, random walks, epidemic spreading and diffusion processes, opinion formation in social networks, traffic modeling and systems biology. Chapters begin with a strong case for the importance of each particular topic, and move quickly into lucid mathematical accounts of the respective processes and their statistical properties. Chapters frequently conclude with a philosophical bookend that outlines theoretical implications and future directions for the field. Another strength of this work is that it is structured in such a way that chapters can be utilized individually, each one acting a complete, comprehensive unit of knowledge.
This book is a definitive guide to understanding a wide range of dynamical processes on networks, and it's rigor and scope afford the reader a high degree of confidence in the material. The only caveat I might offer is that the text is technically dense, thoroughly covering a broad swath of science in just over 300 pages. The reader is presented with everything required to understand the concepts covered in each chapter, but I often found myself re-reading passages in order to fully understand the arguments and implications of the text. This aside, rest assured that the studious reader will find this to be a rewarding, thoughtful account of an important field of science, and I would strongly recommend this book to anyone whose work involves network analysis.
9 of 12 people found the following review helpful.
A great book on dynamical processes on networks
By Pierpaolo Vivo
The new frontier of interdisciplinary research is the science of complex
networks, that provides the right mathematical framework to investigate the
statistical properties of many complex systems belonging to different fields
of study, from biology to economics, engineering and social sciences.
Several good books on complex networks have been recently published, but the
present one is the first focusing on the dynamical aspects of processes
taking place on networks.
Navigation and search on networks, traffic models, epidemic and rumors spreading,
synchronization phenomena, aggregation of information and consensus ...
these are examples of the kind of collective dynamics modern sciences are
interested in!!
This book provides a unique account of these topics, that combines a rigorous
scientific exposition with a very pedagogical attitude, and
continual connections to real-world systems.
Clearly written by leading researchers in the field, the book is intended to
the very broad audience of complex network scientists.
In my opinion, it is a compelling reading for students approaching this
research field and a perfect reference book for courses both at
undergraduate and PhD level.
Luca Dall'Asta and Pier Paolo Vivo- post-doctoral researchers in theoretical physics at ICTP -Trieste
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