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Geometric renormalization of weighted networks
Muhua Zheng, Guillermo García-Pérez, Marián Boguñá +1
The geometric renormalization technique for complex networks has successfully revealed the multiscale self-similarity of real network topologies and can be applied to generate repl…
Feature-enriched hyperbolic network geometry
Roya Aliakbarisani, M. Ángeles Serrano, Marián Boguñá
Graph-structured data provide a comprehensive description of complex systems, encompassing not only the interactions among nodes but also the intrinsic features that characterize t…
Geometric description of clustering in directed networks
Antoine Allard, M. Ángeles Serrano, Marián Boguñá
First principle network models are crucial to make sense of the intricate topology of real complex networks. While modeling efforts have been quite successful in undirected network…