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'Communicability in Networked Systems - Implications for...' Prof. Ernesto Estrada (COMPLEXIS 2018)
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Title: Communicability in Networked Systems - Implications for Stability, Spatial Efficiency and Dynamical Process
Keynote Lecturer: Ernesto Estrada
Presented on: 20/03/2018, Funchal, Madeira, Portugal
Abstract: This keynote lecture will motivate and introduce the concept of network communicability. It will give a few examples of applications of this concept to biological, social, infrastructural and engineering networked systems. Building on this concept we will show how a Euclidean geometry emerges naturally from the communicability patterns in networked complex systems. This communicability geometry characterises the spatial efficiency of networks. We will show how the communicability function allows a natural characterization of network stability and their robustness to external perturbations of the system. Finally, we will show that theoretical parameters derived from the communicability function determine the robustness of dynamical processes taking place on the networks, such as diffusion and synchronization. All the lecture will be characterized by a combination of rigorous results and illustrative examples from the real-world.
Event's Websites:
Presented at the following Event:
COMPLEXIS, 3rd International Conference on Complexity, Future Information Systems and Risk
Keynote Lecturer: Ernesto Estrada
Presented on: 20/03/2018, Funchal, Madeira, Portugal
Abstract: This keynote lecture will motivate and introduce the concept of network communicability. It will give a few examples of applications of this concept to biological, social, infrastructural and engineering networked systems. Building on this concept we will show how a Euclidean geometry emerges naturally from the communicability patterns in networked complex systems. This communicability geometry characterises the spatial efficiency of networks. We will show how the communicability function allows a natural characterization of network stability and their robustness to external perturbations of the system. Finally, we will show that theoretical parameters derived from the communicability function determine the robustness of dynamical processes taking place on the networks, such as diffusion and synchronization. All the lecture will be characterized by a combination of rigorous results and illustrative examples from the real-world.
Event's Websites:
Presented at the following Event:
COMPLEXIS, 3rd International Conference on Complexity, Future Information Systems and Risk