Associate Professor of Networks and Nonlinear Systems
+44 1865 280608
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
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)
Relating modularity maximization and stochastic block models in
CoRR volume abs/1804.01964 (2018) Full text available
Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin.
NeuroImage volume 199 page 127-142 (October 2019)
Classes of random walks on temporal networks with competing timescales
Applied Network Science volume 4 (22 September 2019) Full text available
Temporal Sequence of Retweets Help to Detect Influential Nodes in Social Networks
IEEE Transactions on Computational Social Systems issue 3 volume 6 page 441-455 (1 June 2019)
Multiscale dynamical embeddings of complex networks.
Physical review. E issue 6-1 volume 99 page 062308- (June 2019)
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.