Dynamical Processes on Complex Networks |  | Authors: Alain Barrat, Marc Barthélemy, Alessandro Vespignani
Publisher: Cambridge University Press
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Rating:  3 reviews
Sales Rank: 167824
Media: Hardcover
Edition: 1
Pages: 368
Number Of Items: 1
Shipping Weight (lbs): 2
Dimensions (in): 9.7 x 7 x 0.9
ISBN: 0521879507
Dewey Decimal Number: 511.5
EAN: 9780521879507
ASIN: 0521879507
Publication Date: November 24, 2008
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Product Description
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.
Book Description
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.
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| Customer Reviews:
Great guidance for researchers who work on applying network models August 25, 2009
Qian Zhang
The book starts from the preliminary knowledge about networks to the descriptions and theoretical explanations of complex phenomena and dynamical processes on both physical and social networks, e.g., phase transitions, resilience, robustness, synchronization, diffusion, etc.; and ends with four chapters on applications of network models in diverse areas: epidemic spread, biological and ecological network, social phenomena or problems such as rumor/information spread, opinion formation and coevolution. Different from other books on complex networks, the book emphasizes dynamics of network models. For instance, in the chapter of epidemic spread, it analyzes phase transition in epidemic models, which is a little beyond the interests of most researchers in public health or infectious disease modeling. Besides, in terms of structure, it is well organized in contents, and readers with special interests could easily find related chapters.
Strictly speaking, this is not a textbook which usually aims to provide basic knowledge alone, though it covers most of the preliminaries about network in the first three chapters and related background knowledge in appendices. The book guides readers to think about networks from phenomena to brief but rigorous theoretical explanations to implications or directions; and to think in networks with plentiful examples of network models. It broadens the readers' views in complex networks by listing abundant references in almost all sections of the whole book, which makes a reader easily search representative works in his/her interested fields. In this sense, this book is a masterpiece to guide graduate students and researchers toward applying complex networks models and analysis methods to their own research fields.
A Definitive Work May 6, 2009
Michael D. Conover
2 out of 2 found this review helpful
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.
A great book on dynamical processes on networks November 27, 2008
Pierpaolo Vivo (Trieste (Italy))
2 out of 2 found this review helpful
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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