From the 1 of 11 linked papers with an AI index.
11 papers
Assessing imbalance in signed brain networks
Marzio Di Vece, Emanuele Agrimi, Samuele Tatullo +3
The paper proposes a method to infer signed brain networks from multivariate time series by comparing observed data to entropy‑based benchmarks, then uses signed stochastic block m…
Assessing the Carbon Emissions and Energy Consumption of U.S. Hyperscale Data Centers
Gianluca Guidi, Francesca Dominici, Tiziano Squartini +6
The rapid proliferation of hyperscale data centers (HDCs) in the US, mainly driven by the adoption of artificial intelligence, has raised concerns about this industry's environment…
A Bayesian approach to out-of-sample network reconstruction
Mattia Marzi, Tiziano Squartini
Networks underpin systems that range from finance to biology, yet their structure is often only partially observed. Current reconstruction methods typically fit the parameters of a…
Topology as information: Network effects in corporate lending
Anna Pirogova, Anna Mancini, Tiziano Squartini +1
A central challenge in financial economics is understanding how credit networks form under informational noise. We introduce the concept of topological capital, arguing that banks…
Reproducing the first and second moments of empirical degree distributions
Mattia Marzi, Francesca Giuffrida, Diego Garlaschelli +1
The study of probabilistic models for the analysis of complex networks represents a flourishing research field. Among the former, Exponential Random Graphs (ERGs) have gained incre…
Missing links prediction: comparing machine learning with physics-rooted approaches
Francesca Santucci, Giulio Cimini, Tiziano Squartini
An active research line within the broader field of network science is the one concerning link prediction. Close in scope to network reconstruction, link prediction targets specifi…