output
20112020
most citedMachine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

193 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2017Show all

2 papers · 1 filter

physics.soc-ph2017★ 96 cited

A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities

Alessandro Muscoloni, Carlo Vittorio Cannistraci

The hidden metric space behind complex network topologies is a fervid topic in current network science and the hyperbolic space is one of the most studied, because it seems associa…

physics.soc-ph2017★ 14 cited

Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction

Alessandro Muscoloni, Umberto Michieli, Carlo Vittorio Cannistraci

Topological link-prediction can exploit the entire network topology (global methods) or only the neighbourhood (local methods) of the link to predict. Global methods are believed t…