activity
20132024
most citedCommunity detection, link prediction, and layer interdependence in multilayer networks

211 citations · 859 across the 32 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.SI2022★ 16 cited

A framework to generate hypergraphs with community structure

Nicolò Ruggeri, Federico Battiston, Caterina De Bacco

In recent years hypergraphs have emerged as a powerful tool to study systems with multi-body interactions which cannot be trivially reduced to pairs. While highly structured method…

physics.soc-ph2022★ 24 cited

Urban transportation networks and optimal transport-based infrastructures: similarity and economy of scale

Daniela Leite, Caterina De Bacco

Designing and optimizing the structure of urban transportation networks is a challenging task. In this study, we propose a method inspired by optimal transport theory and the princ…

cs.SI2022

Modeling Node Exposure for Community Detection in Networks

Sameh Othman, Johannes Schulz, Marco Baity-Jesi +1

In community detection, datasets often suffer a sampling bias for which nodes which would normally have a high affinity appear to have zero affinity. This happens for example when…

physics.soc-ph2022★ 4 cited

Community Detection in networks by Dynamical Optimal Transport Formulation

Daniela Leite, Diego Baptista, Abdullahi Ibrahim +2

Detecting communities in networks is important in various domains of applications. While a variety of methods exists to perform this task, recent efforts propose Optimal Transport…

cs.SI2022★ 15 cited

Anomaly detection and community detection in networks

Hadiseh Safdari, Caterina De Bacco

Anomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of inte…

cs.CV2022★ 3 cited

Immiscible Color Flows in Optimal Transport Networks for Image Classification

Alessandro Lonardi, Diego Baptista, Caterina De Bacco

In classification tasks, it is crucial to meaningfully exploit the information contained in data. While much of the work in addressing these tasks is devoted to building complex al…

cs.SI2022★ 117 cited

Inference of hyperedges and overlapping communities in hypergraphs

Martina Contisciani, Federico Battiston, Caterina De Bacco

Hypergraphs, encoding structured interactions among any number of system units, have recently proven a successful tool to describe many real-world biological and social networks. H…

physics.soc-ph2022★ 15 cited

Sustainable optimal transport in multilayer networks

Abdullahi Adinoyi Ibrahim, Daniela Leite, Caterina De Bacco

Traffic congestion is one of the major challenges faced by the transportation industry. While this problem carries a high economical and environmental cost, the need for an efficie…