Associate Professor (Reader) in Machine Learning
School of Mathematics, The University of Edinburgh
The Maxwell Institute for Mathematical Sciences
Alan Turing Institute | Bayes Centre | Gen AI Lab
School of Mathematics, Gran Sasso Science Institute
email: f dot tudisco at ed.ac.uk
Thrilled to share that our paper Core-periphery detection in multilayer networks has been accepted for publication in Physical Review Letters, the American Physical Society’s flagship journal. Huge thanks to my collaborator Kai Bergermann!
This work introduces a novel spectral method for simultaneously detecting core-periphery structures in both nodes and layers of multilayer networks. The method reveals fascinating structural insights across diverse real-world networks, from the citation network of complex network scientists to European airline transport and world trade networks. Physical Review Letters is one of the most prestigious venues in physics, making this acceptance particularly exciting for advancing the field of network science.