Associate Professor of Networks and Nonlinear Systems
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
ISBN-13: 9783030054106 (1 January 2019)
A Guide to Temporal Networks
ISBN-13: 9781786341167 (28 July 2016)
Diffusion on networked systems is a question of time or structure.
Nature communications volume 6 page 7366-7366 (9 June 2017)
The many facets of community detection in complex networks
Schaub, M.T., Delvenne, JC., Rosvall, M. et al. Appl Netw Sci (2017) 2: 4 (3 February 2017) Full text available
Random Walks, Markov Processes and the Multiscale Modular Organization
of Complex Networks
IEEE Transactions on Network Science and Engineering (Volume:1 , Issue: 2 ) pp 76-90, 2015 (2 January 2015) Full text available
Memory in network flows and its effects on spreading dynamics and community detection.
Nature Communications volume 5 page 4630-4630 (11 August 2014)
Multirelational organization of large-scale social networks in an online world.
Proceedings of the National Academy of Sciences of the United States of America issue 31 volume 107 page 13636-13641 (1 August 2010)
Modelling Non-Linear Consensus Dynamics on Hypergraphs
Journal of Physics: Complexity volume abs/2007.09391 (1 December 2020)
Opinion Dynamics with Multi-Body Interactions
Proceedings of NETGCOOP 2020 (1 July 2020)
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
Science Advances (5 June 2020) Full text available
Multi-body Interactions and Non-Linear Consensus Dynamics on Networked
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics (1 March 2020)
Community detection in networks with unobserved edges
Science Advances issue 4 volume 6 (24 January 2020)
Complex systems - Dynamics on networks - Temporal networks
Mathematical Institute, Andrew Wiles Building, University of Oxford, Radcliffe Observatory Quarter, Woodstock Rd, Oxford OX2 6GG, UK
Renaud Lambiotte has a PhD in physics from the Université libre de Bruxelles. After postdocs at ENS Lyon, Université de Liège, UCLouvain and Imperial College London, and a professorship in Mathematics at the University of Namur, he is currently associate professor at the Mathematical Institute of Oxford University. His main research interests are the modelling and analysis of processes taking place on large networks, with a particular focus on social and brain networks.