Using Chaos to Enhance Efficiency in Real-World Networks
The world is full of complex networks, from the internet to the human brain. But how can we make sense of them? Scientists from the Max Planck Institute for Dynamics and Self-Organization and the University of Göttingen have developed a new method to investigate the structure of real-world networks, harnessing their natural incoherence.
Through the use of this new method, scientists are able to investigate the structure of real-world networks in a completely new way. By harnessing the natural incoherence of networks, they are able to better understand the relationships between different elements, and how they interact with each other. This knowledge can be used to develop better strategies for data analysis and improve our understanding of how complex networks form and evolve.
source: Phys.org