12 citations · 13 across the 4 of their papers we have counts for
4 papers
Geometry-free renormalization of directed networks: scale-invariance and reciprocity
Margherita Lalli, Diego Garlaschelli
Recent research has tried to extend the concept of renormalization, which is naturally defined for geometric objects, to more general networks with arbitrary topology. The current…
Inference through innovation processes tested in the authorship attribution task
Giulio Tani Raffaelli, Margherita Lalli, Francesca Tria
Urn models for innovation capture fundamental empirical laws shared by several real-world processes. The so-called urn model with triggering includes, as particular cases, the urn…
Inhomogeneous random graphs with infinite-mean fitness variables
Luca Avena, Diego Garlaschelli, Rajat Subhra Hazra +1
We consider an inhomogeneous Erdős-Rényi random graph ensemble with exponentially decaying random disconnection probabilities determined by an i.i.d. field of variables with heavy…
Multiscale network renormalization: scale-invariance without geometry
Elena Garuccio, Margherita Lalli, Diego Garlaschelli
Systems with lattice geometry can be renormalized exploiting their coordinates in metric space, which naturally define the coarse-grained nodes. By contrast, complex networks defy…