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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.

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Synthetic lethality clusters in metabolic networks

2018/01/26 | academic

Synthetic lethality, in which the combined knockout of two nonessential genes or reactions is lethal, has direct applications in recognising targets for therapeutic treatment of complex diseases and for fighting against undesired resistance. We propose a change of paradigm based on the fact that SL interactions in metabolism are not independent of each other but form complex backup systems, called SL clusters.

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World Trade Atlas 1870-2013

2018/01/25 | academic

The World Trade Atlas 1870-2013 is a collection of annual World Trade Maps where distance integrates the different dimensions affecting international trade beyond geography. The Atlas informs us about the long-run evolution of the international trade system and shows that, in terms of trade, the world is not flat, it is hyperbolic.

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latest publications

Multiscale unfolding of real networks by geometric renormalization

Guillermo García-Pérez, Marián Boguñá and M. Ángeles Serrano

Nature Physics doi:10.1038/s41567-018-0072-5 (2018)

theory of complex networks | metric spaces

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Metabolic plasticity in synthetic lethal mutants: viability at higher cost

Francesco Alessandro Massucci, Francesc Sagués, M. Ángeles Serrano

PLOS Computational Biology 14 e1005949 (2018)

systems biology | metabolism

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Navigability of temporal networks in hyperbolic space

Elisenda Ortiz, Michele Starnini, M. Ángeles Serrano

Scientific Reports 7 15054 (2017)

theory of complex networks | metric spaces

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M. Ángeles Serrano

ICREA Research Professor at the

Universitat de Barcelona

M. Ángeles Serrano obtained her Ph.D. in Physics at the Universitat de Barcelona (UB) in 1999 with a thesis about gravitational wave detection. In 2000, she also received her Masters in Mathematics for Finance at the CRM-Universitat Autònoma de Barcelona. After four years in the private sector as IT consultant and mutual funds manager, Prof. Serrano returned to academia in 2004 to work in the field of Network Science. Subsequently, she was a researcher at Indiana University (USA), the École Polytechnique Fédérale de Lausanne (Switzerland), IFISC Institute (Spain), and held a Ramón y Cajal research associate appointment at UB until october 2015. The results of her investigations are summarized in major peer reviewed international scientific journals -including Nature, PNAS, PRL, ...-, book chapters, and conference proceedings. Prof. Serrano leads and participates in several research projects at the international and national levels. She is also actively involved in advising and research supervision. She serves in evaluation panels and program scientific committees, and acts as a reviewer in several international journals. In February 2009, she obtained the Outstanding Referee award of the American Physical Society. She is a Founder 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.