HOME

highlights

Mercator

2019/12/05 | academic

NETS2MAPS - Mercator is a new embedding tool to create maps of networks in the hyperbolic plane. Download it now from GitHub!

learn more

Postdoctoral Position in Mapping Big Data Systems - CLOSED

2018/06/21 | academic

Applications are invited for a Postdoctoral fellowship at the University of Barcelona to work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the Department of Condensed Matter Physics and UB Institute of Complex Systems (UBICS). The position is funded by a Fundación BBVA grant.

learn more

A renormalization group for the multiscale unfolding of complex networks

2018/03/20 | academic

Maps of complex networks in hyperbolic space are not only attractive visual representations but they are full of meaning and allow us to find out information on the systems and to navigate through them. We can increase the system navigability if we take into account the information provided by the renormalization group, which allows us to unfold networks at the different structural scales that build them up, and which, in addition, turn out to be self-similar, that is, they have the same organization at different scales. These results can also be applied to make reduced versions of the original networks at smaller scales and which have the same properties. The possibility of having reduced copies has a great potential; for instance, they can serve as testbeds to assess expensive processes in original networks, such as new Internet routing protocols.

learn more

see all news

latest publications

Mercator: uncovering faithful hyperbolic embeddings of complex networks

Guillermo Garcia-Perez, Antoine Allard, M. Ángeles Serrano and Marián Boguñá

New Journal of Physics https://doi.org/10.1088/1367-2630/ab57d2 (2019)

theory of complex networks

abstract view download

The interconnected wealth of nations: Shock propagation on global trade-investment multiplex networks

Michele Starnini, Marián Boguñá, and M Ángeles Serrano

Scientific Reports 9 13079 (2019)

economic networks | World Trade Web

abstract view download

Geometric randomization of real networks with prescribed degree sequence

Michele Starnini, Elisenda Ortiz, and M Ángeles Serrano

New Journal of Physics 21 053039 (2019)

theory of complex networks | metric spaces

abstract view download

see publications list

M. Ángeles Serrano

ICREA Research Professor

at the Universitat de Barcelona UB

M. Ángeles Serrano is an ICREA Research Professor at the Department of Condensed Matter Physics of the University of Barcelona and External Faculty at the Complexity Science Hub Vienna CSH. She obtained her Ph.D. in Physics at the University of Barcelona, a master in mathematics for finance from the CRM-Autonomous University of Barcelona, and completed her postdoctoral research at Indiana University (USA), the École Polytechnique Fédérale de Lausanne (Switzerland) and IFISC Institute (Spain). She is interested in unraveling the universal principles and laws underlying the structure, function, and evolution of complex networks. Her research covers theoretical developments and applications to a variety of real systems, from international trade to the Internet and the brain. M. Ángeles obtained the Outstanding Referee Award of the American Physical Society. She is a founding member of Complexitat, the Catalan network for the study of complex systems, and a promoter member of UBICS, the Universitat de Barcelona Institute of Complex Systems.