192 citations · 856 across the 10 of their papers we have counts for
10 papers
Task complexity shapes internal representations and robustness in neural networks
Robert Jankowski, Filippo Radicchi, M. Ángeles Serrano +2
Neural networks excel across a wide range of tasks, yet remain black boxes. In particular, how their internal representations are shaped by the complexity of the input data and the…
Network Renormalization
Andrea Gabrielli, Diego Garlaschelli, Subodh P. Patil +1
The renormalization group (RG) is a powerful theoretical framework developed to consistently transform the description of configurations of systems with many degrees of freedom, al…
Navigable maps of structural brain networks across species
Antoine Allard, M. Ángeles Serrano
Connectomes are spatially embedded networks whose architecture has been shaped by physical constraints and communication needs throughout evolution. Using a decentralized navigatio…
Deciphering the global organization of clustering in real complex networks
Pol Colomer-de-Simon, M. Angeles Serrano, Mariano G. Beiro +2
We uncover the global organization of clustering in real complex networks. As it happens with other fundamental properties of networks such as the degree distribution, we find that…
Clustering in complex networks. II. Percolation properties
M. Angeles Serrano, Marian Boguna
The percolation properties of clustered networks are analyzed in detail. In the case of weak clustering, we present an analytical approach that allows to find the critical threshol…
Clustering in complex networks. I. General formalism
M. Angeles Serrano, Marian Boguna
We develop a full theoretical approach to clustering in complex networks. A key concept is introduced, the edge multiplicity, that measures the number of triangles passing through…