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The TIMING project aims to create a framework for analyzing temporal networks, allowing the generation of synthetic networks that mimic real-world dynamics. This will aid in data augmentation and privacy-sensitive social data analysis.
The TIMING project will develop a framework to analyse temporal networks and generate realistic surrogates.
Observation of real-world temporal networks given as input will aim at grasping their intricate structure, resulting from temporal and topological causalities and correlations. I will devise a methodology to mimic these dynamics, using concepts of network science theory as guidelines.
The generated synthetic networks will reproduce the fundamental features of the original topologies.
This…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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