activity
20242026
most citedNetwork reconstruction via the minimum description length principle

10 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2026

Graphs are maximally expressive for higher-order interactions

Tiago P. Peixoto, Leto Peel, Thilo Gross +1

We demonstrate that graph-based models are fully capable of representing higher-order interactions, and have a long history of being used for precisely this purpose. This stands in…

cs.SI2025

Mesoscale structures in signed networks

Wei Zhang, Olga Boichak, Tristram J. Alexander +2

Meso-scale structures in signed networks have been studied under the limiting assumption of the validity of social balance theory, which predicts positive connections within groups…

physics.soc-ph2025

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides

Thomas Robiglio, Martina Contisciani, Márton Karsai +1

Migration is central in various societal problems related to socioeconomic development. While much of the existing research has focused on international migration, migration patter…

stat.ML2025

Uncertainty quantification and posterior sampling for network reconstruction

Tiago P. Peixoto

Network reconstruction is the task of inferring the unseen interactions between elements of a system, based only on their behavior or dynamics. This inverse problem is in general i…

stat.ML2024★ 10 cited

Network reconstruction via the minimum description length principle

Tiago P. Peixoto

A fundamental problem associated with the task of network reconstruction from dynamical or behavioral data consists in determining the most appropriate model complexity in a manner…

cs.DS2024

Scalable network reconstruction in subquadratic time

Tiago P. Peixoto

Network reconstruction consists in determining the unobserved pairwise couplings between nodes given only observational data on the resulting behavior that is conditioned on th…