activity
20162025
most citedStatistical physics of complex information dynamics

54 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2025

Spectral Entropy via Random Spanning Forests

Carlo Nicolini

We establish an exact analytic relation between random spanning forests and the heat-kernel partition function. This identity enables estimation of partition functions, energies, a…

cs.LG2025

skfolio: Portfolio Optimization in Python

Carlo Nicolini, Matteo Manzi, Hugo Delatte

Portfolio optimization is a fundamental challenge in quantitative finance, requiring robust computational tools that integrate statistical rigor with practical implementation. We p…

physics.soc-ph2020★ 54 cited

Statistical physics of complex information dynamics

Arsham Ghavasieh, Carlo Nicolini, Manlio De Domenico

The constituents of a complex system exchange information to function properly. Their signalling dynamics often leads to the appearance of emergent phenomena, such as phase transit…

cond-mat.stat-mech2018★ 10 cited

Thermodynamics of network model fitting with spectral entropies

Carlo Nicolini, Vladimir Vlasov, Angelo Bifone

An information theoretic approach inspired by quantum statistical mechanics was recently proposed as a means to optimize network models and to assess their likelihood against synth…

q-bio.NC2017

Graph analysis and modularity of brain functional connectivity networks: searching for the optimal threshold

Cécile Bordier, Carlo Nicolini, Angelo Bifone

Neuroimaging data can be represented as networks of nodes and edges that capture the topological organization of the brain connectivity. Graph theory provides a general and powerfu…

q-bio.NC2016★ 6 cited

Community detection in weighted brain connectivity networks beyond the resolution limit

Carlo Nicolini, Cécile Bordier, Angelo Bifone

Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization. However, most graph-based methods suffer from a fun…