The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading 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. This 2008 book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. 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 readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.
Dynamical Processes on Complex Networks
et plus d'un million d'autres livres sont disponibles pour le Kindle d'Amazon. En savoir plus
| ||||||||||||||||||||
Description de l'ouvrage
Produits fréquemment achetés ensemble
Descriptions du produit
Revue de presse
Review of the hardback: 'With a focus in dynamical processes, this book is an excellent introduction … on the statistical mechanics approach of networks … Not only [does] it consist of a wide array of commonly used techniques in the discipline but also it provides multitudes of the techniques' applied examples … this book could serve as an introduction book and a reference to new-to-the-topic JASSS readers. To conclude, I believe that this book has contributed another step in integrating the vast multidisciplinary approaches in network science.' Journal of Artificial Societies and Social Simulation
Review of the hardback: '… the book does a terrific and admirable job at putting some order into the wealth of research that has emerged during the last decade … a fantastic resource book on dynamical processes on complex networks, and its wide scope promises to keep it relevant for several years to come.' Journal of Statistical Physics
Review of the hardback: '… 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 modelling a dynamical process on a network.' Contemporary Physics
Review of the hardback: '… the book does a terrific and admirable job at putting some order into the wealth of research that has emerged during the last decade … a fantastic resource book on dynamical processes on complex networks, and its wide scope promises to keep it relevant for several years to come.' Journal of Statistical Physics
Review of the hardback: '… 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 modelling a dynamical process on a network.' Contemporary Physics
Biographie de l'auteur
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 à 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.
Marc Barthélemy is Senior Researcher at the Institute for Theoretical Physics (IPhT) at the Commissariat à 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.
Détails sur le produit
Souhaitez-vous compléter ou améliorer les informations sur ce produit ? Ou faire modifier les images?
|
En savoir plus sur les auteurs
Découvrez des livres, informez-vous sur les écrivains, lisez des blogs d'auteurs et bien plus encore.
Dans ce livre
(En savoir plus)
Quels sont les autres articles que les clients achètent après avoir regardé cet article?
Commentaires en ligne
Commentaires client les plus utiles
1 internautes sur 1 ont trouvé ce commentaire utile
5.0 étoiles sur 5
Une référence à la pointe de l'actualité scientifique sur les réseaux complexes d'interaction et leurs dynamiques
14 février 2010
Par Cyrille
Format:Relié
Ce livre dresse un excellent aperçu des méthodes de modélisation des processus dynamiques des réseaux complexes d'interaction. Ce livre est vraiment au coeur de l'actualité scientifique de l'ingénierie des systèmes complexes et il représente une contribution importante pour toute la communauté nationale et internationale - aujourd'hui très importante - de ce domaine. Les réseaux en question sont aujourd'hui dans l'esprit de tous, scientifiques ou non, que ce soit l'immense réseaux de la toile du net dont on comprend bien, intuitivement, que des effets de structures rythment sa dynamique, que ce soit les réseaux biologiques qui expriment à de nombreuses échelles des propriétés étonnantes : réseaux protéïques, réseaux de neurones, réseaux écosystémiques, toutes ces structures appellent à des représentations de graphes balayés par une dynamique qui les restructure en permanence. Le livre d'Alain Barrat, de Marc Barthélemy et de Alessandro Vespignani - scientifiques très actifs, productifs et de renommée internationale - est une richesse tant dans le formalisme précis des outils de modélisation qu'ils utilisent que dans les domaines d'application qu'ils abordent dans un spectre multidisciplinaire montrant ainsi tout l'intérêt actuel du mouvement scientifique sur les systèmes complexes, qui est par essence interdisciplinaire.
Commentaires client les plus utiles sur Amazon.com (beta)
Amazon.com:
5.0 étoiles sur 5
3 commentaires
9 internautes sur 11 ont trouvé ce commentaire utile
5.0 étoiles sur 5
A Definitive Work
6 mai 2009
Par Michael D. Conover
- Publié sur Amazon.com
Format:Relié
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.
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.
8 internautes sur 10 ont trouvé ce commentaire utile
5.0 étoiles sur 5
A great book on dynamical processes on networks
27 novembre 2008
Par Pierpaolo Vivo
- Publié sur Amazon.com
Format:Relié
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
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
5 internautes sur 6 ont trouvé ce commentaire utile
5.0 étoiles sur 5
Great guidance for researchers who work on applying network models
25 août 2009
Par Qian Zhang
- Publié sur Amazon.com
Format:Relié
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.
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.
›
Allez sur Amazon.com pour voir l'ensemble des 3 commentaires
5.0 étoiles sur 5
Ces commentaires ont-ils été utiles ?
Dites-le-nous
Listmania!
Rechercher des articles similaires par rubrique
- Livres anglais et étrangers > Science > Mathematics > Applied > Graph Theory
- Livres anglais et étrangers > Science > Physics > Acoustics & Sound
- Livres anglais et étrangers > Science > Physics > Chaos & Systems
- Livres anglais et étrangers > Science > Physics > Mathematical Physics
- Livres anglais et étrangers > Science > Physics > System Theory
Commentaires
Souhaitez-vous compléter ou améliorer les informations sur ce produit ? Ou faire modifier les images?
|
