School of Mathematical Sciences

Research Lines and Projects


  1. Network theory: Multiplex, temporal and spatial networks. Statistical mechanics and information theory of complex networks. Critical phenomena in networks. Network inference. Quantum complex networks. Graph-theoretical time series analysis.
  2. Modelling of social, biological and technological complex systems: Human mobility. Epidemics and disease spreading. Energy infrastructure networks. Smart cities. Neuroscience. Systems biology. Critical phenomena and complexity. Quantitative linguistics.
  3. Applied nonlinear dynamics: Synchronisation of coupled dynamical systems. Nonlinear time series analysis and chaos.
  4. Foundations of Complexity Science


EPSRC SIGNET(link is external) (Early Career Fellowship) Exploring the interface between signal processing and network science (Lucas Lacasa) (2017-2020)


EU LASAGNE(link is external), multi-LAyer SpAtiotemporal Generalized NEtworks (Vito Latora, Enzo Nicosia, Federico Battiston)

Aiming to provide a novel and coherent theoretical framework for analysing and modelling dynamic and multi-layer networks in terms of multi-graphs embedded in space and time. The theory is validated on real-world applications involving brain networks, on- and off-line social systems, healthcare systems, and transportation flows in cities. Consortium: Medical University of Vienna, Queen Mary University of London, University of Cambridge, Universitat de las Illes Balears, Centre National pour la Recherce Scientifique, Universitat de Barcelona, University of Manchester. Queen Mary University of London is the scientific coordinator.

EPSRC GALE(link is external)Global Accessibility to Local Experience (Vito Latora, Alessandro Fiasconaro)

Pioneering third generation recommender systems which would make it possible for the rapidly growing population of “global” city users to access, in real time, a level of information, that of the neighborhoods knowledge, which is inherently inaccessible to global repositories. This is a multidisciplinary consortium of 3 partners: Queen Mary University of London (School of Mathematical Sciences), University of Cambridge (Computer Laboratory), and Strathclyde University (department of Architecture).

EPSRC RAVEN, Resilience, Adaptability and Vulnerability of complex Energy Networks (David Arrowsmith) (2010-2013).

EPSRC Data Support for RAVEN (David Arrowsmith) (2011-2012)

MODELICO(link is external) Modelling and Simulation of Complex Systems (Lucas Lacasa) (2010-2013)


EU Pathfinder programme MANMADE
 Diagnosing vulnerability, emergent phenomena, and volatility in man-made networks (David Arrowsmith) (2007-2009) 


  • Our group maintains tight collaborations with research groups from world-leading universities.
  • Our work impact industry and society. We collaborate with industrial and societal stakeholders such as IBM, Neo Technology, Telefonica, Hopital de la Salpetriere, Glasgow City Marketing Bureau.