4 papers
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…
Scaling up real networks by geometric branching growth
Muhua Zheng, Guillermo García-Pérez, Marián Boguñá +1
Real networks often grow through the sequential addition of new nodes that connect to older ones in the graph. However, many real systems evolve through the branching of fundamenta…
Geometric renormalization unravels self-similarity of the multiscale human connectome
Muhua Zheng, Antoine Allard, Patric Hagmann +2
Structural connectivity in the brain is typically studied by reducing its observation to a single spatial resolution. However, the brain possesses a rich architecture organized ove…
Double transition of information spreading in a two-layered network
Jiao Wu, Muhua Zheng, Wei Wang +2
A great deal of significant progress has been seen in the study of information spreading on populations of networked individuals. A common point in many of past studies is that the…