211 citations · 859 across the 32 of their papers we have counts for
8 papers · 1 filter
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
Nicolò Ruggeri, Alessandro Lonardi, Caterina De Bacco
Hypergraphs are widely adopted tools to examine systems with higher-order interactions. Despite recent advancements in methods for community detection in these systems, we still la…
Structure and inference in hypergraphs with node attributes
Anna Badalyan, Nicolò Ruggeri, Caterina De Bacco
Many networked datasets with units interacting in groups of two or more, encoded with hypergraphs, are accompanied by extra information about nodes, such as the role of an individu…
A model for efficient dynamical ranking in networks
Andrea Della Vecchia, Kibidi Neocosmos, Daniel B. Larremore +2
We present a physics-inspired method for inferring dynamic rankings in directed temporal networks - networks in which each directed and timestamped edge reflects the outcome and ti…
Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks
Alessandro Lonardi, Caterina De Bacco
Global infrastructure robustness and local transport efficiency are critical requirements for transportation networks. However, since passengers often travel greedily to maximize t…
Hypergraphx: a library for higher-order network analysis
Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco +6
From social to biological systems, many real-world systems are characterized by higher-order, non-dyadic interactions. Such systems are conveniently described by hypergraphs, where…
Anomaly, reciprocity, and community detection in networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including…
Convergence properties of optimal transport-based temporal hypernetworks
Diego Baptista, Caterina De Bacco
We present a method to extract temporal hypergraphs from sequences of 2-dimensional functions obtained as solutions to Optimal Transport problems. We investigate optimality princip…
Community Detection in Large Hypergraphs
Nicolò Ruggeri, Martina Contisciani, Federico Battiston +1
Hypergraphs, describing networks where interactions take place among any number of units, are a natural tool to model many real-world social and biological systems. In this work we…