We are excited to host Renaud Lambiotte (University of Oxford) in the BeyondTheEdge Seminar series:
Consensus and Random Walks on “Higher-order Networks”
In this talk, I will discuss the modelling application of diffusion models, including random walks and consensus dynamics, when applied to higher-order networks. These generalisations include hypergraphs, accounting for multiway interactions and signed networks, allowing for negative edges to encode conflictual interactions.
About the speaker
Renaud Lambiotte is a Professor of Networks and Nonlinear Systems at the Mathematical Institute of the University of Oxford and a Tutorial Fellow at Somerville College. As a distinguished network scientist, he is also a Turing Fellow at the Alan Turing Institute in London and an External Faculty member at the Complexity Science Hub Vienna. After receiving his Ph.D. in Physics from the Université Libre de Bruxelles, he held postdoctoral positions at prestigious institutions including ENS Lyon, Université de Liège, UCLouvain, and Imperial College London before becoming a Professor of Mathematics at the University of Namur. His research primarily focuses on the modeling and analysis of large-scale networks, with particular emphasis on social networks, brain networks, network clustering algorithms, empirical hypergraphs, and temporal networks. Professor Lambiotte has made significant contributions to the field with approximately 150 peer-reviewed publications and is the author of two books: Modularity and Dynamics on Complex Networks (Cambridge University Press, 2022) and A Guide to Temporal Networks (World Scientific, 2021). He currently serves as a Senior Associate Editor for Science Advances, further demonstrating his continued influence in the academic community.