The recent discovery of universal principles underlying many complex networks occurring across widely differing domains in the biological, social and technological worlds have spurred the interest of physicists in trying to understand such features using techniques from statistical physics and non-linear dynamics. In this article, we discuss some recent work from our group that looks at how network structure (e.g., its connection topology) dictates the nature of its dynamics, and conversely, how dynamical considerations constrain the network structure. These results are of obvious significance for understanding real-world systems
In the last decade, physics has been expanding to new research areas. In particular, life-related sc...
As stated by the authors, the goal of this book is to present a comprehensive and unifying account o...
Over the last decade, we have witnessed the birth of a new movement of interest and research in the ...
What can we learn from the collective dynamics of a complex network about its interaction topology? ...
What can we learn from the collective dynamics of a complex network about its interaction topology? ...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
What are complex networks and why are they so important? We briefly sketch a contour landscape with ...
In fact, much of the attraction of network theory initially stemmed from the fact that many networks...
Many studies are still necessary to model and understand how to improve the robustness of infrastruc...
none5In the last decade, physics has been expanding to new research areas. In particular, life-relat...
The prevalence of scale-free nature of complex networks across diverse systems, be it in social netw...
The prevalence of scale-free nature of complex networks across diverse systems, be it in social netw...
A network is a mathematical object consisting of a set of points that are connected to each other in...
In the last decade, physics has been expanding to new research areas. In particular, life-related sc...
As stated by the authors, the goal of this book is to present a comprehensive and unifying account o...
Over the last decade, we have witnessed the birth of a new movement of interest and research in the ...
What can we learn from the collective dynamics of a complex network about its interaction topology? ...
What can we learn from the collective dynamics of a complex network about its interaction topology? ...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
What are complex networks and why are they so important? We briefly sketch a contour landscape with ...
In fact, much of the attraction of network theory initially stemmed from the fact that many networks...
Many studies are still necessary to model and understand how to improve the robustness of infrastruc...
none5In the last decade, physics has been expanding to new research areas. In particular, life-relat...
The prevalence of scale-free nature of complex networks across diverse systems, be it in social netw...
The prevalence of scale-free nature of complex networks across diverse systems, be it in social netw...
A network is a mathematical object consisting of a set of points that are connected to each other in...
In the last decade, physics has been expanding to new research areas. In particular, life-related sc...
As stated by the authors, the goal of this book is to present a comprehensive and unifying account o...
Over the last decade, we have witnessed the birth of a new movement of interest and research in the ...