School of Mathematical Sciences

Professor Ginestra Bianconi


Professor of Applied Mathematics

Telephone: +44 (0)20 7882 5444
Room Number: Mathematical Sciences Building, Room: MB-521
Office Hours: Semester B: Thursday 14:30-15:30 MB-521 or by appointment


Ginestra Bianconi is Professor of Applied Mathematics in the School of Mathematical Sciences of Queen Mary University of London and she is  Alan Turing Fellow at the Alan Turing Institute. Currently she is Chief Editor of JPhys Complexity, Editor of PloSOne, and Scientific Reports, and she is Associate Editor of Chaos, Solitons and Fractals.

Her research activity on Statistical Mechanics and Network Science includes Network Theory and its interdisciplinary applications. She has formulated the Bianconi-Barabasi model that displays the Bose-Einstein condensation in complex networks. She has worked in network entropy and network ensembles and on dynamical processes on networks. In the last years, she has been focusing on multilayer networks, simplicial complexes, network geometry and topology, percolation and network control. She is the author of the book Multilayer Networks: Structure and Function by Oxford University Press.


Research Interests:

  •  Statistical mechanics of networks
    • Multilayer Networks
    • Higher-order networks and simplicial complexes
    • Network Topology and Network Geometry
    • Network modelling
    • Percolation theory
    • Synchronization
    • Quantum phenomena on networks
    • Critical phenomena on networks
    • Entropy measures for network ensembles
    • Models of social network dynamics
    • Centrality measures for economic and financial networks
  • Biological Networks
    • Neural networks and brain dynamics
    • Molecular Networks
  • Complexity and criticality in condensed matter

Examples of research funding:







Ginestra Bianconi has published more than 150 papers and her work has appeared in major scientific journals such as Science, Nature, PNAS, PRX and Physical Review Letters. She is the author of the book Multilayer Networks: Structure and Function  by Oxford University Press.