Status:
Associate Professor of Networks and Nonlinear Systems
Personal website:
ORCID iD:
https://orcid.org/0000-0002-0583-4595
Research groups:
Address
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Recent Books:
A Guide to Temporal Networks
ISBN-13: 9781786341167
(28 July 2016)
Highlighted Publications:
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)
Recent Publications:
Community detection in networks with unobserved edges
Science Advances
issue 4
volume 6
(24 January 2020)
Erratum: Second corrigendum to “Random walks and diffusion on networks” [Phys. Rep. 716–717 (2017) 1–58](S0370157317302946)(10.1016/j.physrep.2017.07.007)
Physics Reports
(1 January 2020)
Continuous-Time Random Walks and Temporal Networks
Temporal Network Theory
(29 October 2019)
Relating modularity maximization and stochastic block models in multilayer networks
SIAM Journal on Mathematics of Data Science
issue 4
volume 1
page 667–698-
(8 October 2019)
Random walks on dense graphs and graphons
arXiv
(25 September 2019)
Research interests:
Complex systems - Dynamics on networks - Temporal networks
Preferred address:
Mathematical Institute, Andrew Wiles Building, University of Oxford, Radcliffe Observatory Quarter, Woodstock Rd, Oxford OX2 6GG, UK
Further details:
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.