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OPEN CALL: POSTDOCTORAL POSITION

2021/12/01   |   projects

The successful applicant will work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the Department of Condensed Matter Physics of the University of Barcelona and UB Institute of Complex Systems (UBICS).
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The hyperbolic brain

2021/06/01   |   academic

Structural brain networks are spatially embedded networks whose architecture has been shaped by physical constraints and functional needs throughout evolution. Euclidean space is typically assumed as the natural geometry of the brain. However, distances in hyperbolic space offer a more accurate interpretation of the structure of connectomes across species, including multiscale self-similarity in the human brain. Implications extend to debates, like criticality in the brain, and applications, including tools for brain simulation.
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Renormalizing complex networks

2021/05/25   |   academic

We introduced a geometric renormalization technique for complex networks that allows us to explore complex systems at different resolution levels. Using it, we found that the connectivity in complex networks at different length scales is regulated by the same principles and looks self-similar. Strikingly, the same ideas can be applied to explain the self-similar growth of complex networks, meaning that the same principles remain over time too. Our models allow us to produce full up-and-down self-similar multiscale replicas of complex networks that covers both large and small scales.
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latest publications


Perturbation of the normalized Laplacian matrix for the prediction of missing links in real networks

Roya Aliakbarisani, Abdorasoul Ghasemi, M. Ángeles Serrano
IEEE Transactions on Network Science and Engineering doi: 10.1109/TNSE.2021.3137862 (2022)
theory of complex networks  |  link prediction

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The Shortest Path to Network Geometry A Practical Guide to Basic Models and Applications

M. Ángeles Serrano and Marián Boguñá
Cambridge Elements, The Structure and Dynamics of Complex Networks (2022)
theory of complex networks  |  network geometry

Scaling up real networks by geometric branching growth

Muhua Zheng, Guillermo García-Pérez, Marián Boguñá, M. Ángeles Serrano
Proceedings of the National Academy of Sciences USA 118 e2018994118 (2021)
theory of complex networks  |  network geometry

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