output
20162021
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

4 papers

q-bio.OT2021★ 63 cited

QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Glyn Nelson, Ulrike Boehm, Steve Bagley +97

In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scie…

physics.soc-ph2020★ 99 cited

Modular gateway-ness connectivity and structural core organization in maritime network science

Mengqiao Xu, Qian Pan, Alessandro Muscoloni +2

Around 80% of global trade by volume is transported by sea, and thus the maritime transportation system is fundamental to the world economy. To better exploit new international shi…

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…

cond-mat.dis-nn2016★ 193 cited

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci +2

Complex network topologies and hyperbolic geometry seem specularly connected, and one of the most fascinating and challenging problems of recent complex network theory is to map a…