activity
20152023
most citedStochastic Search with Poisson and Deterministic Resetting

134 citations · 208 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph202340 cited

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…

cs.DM2023

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…

physics.soc-ph202227 cited

Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships

Kyle Higham, Martina Contisciani, Caterina De Bacco

The use of patent citation networks as research tools is becoming increasingly commonplace in the field of innovation studies. However, these networks rarely consider the contexts…

cs.SI20225 cited

Estimating Social Influence from Observational Data

Dhanya Sridhar, Caterina De Bacco, David Blei

We consider the problem of estimating social influence, the effect that a person's behavior has on the future behavior of their peers. The key challenge is that shared behavior bet…

cond-mat.stat-mech2016134 cited

Stochastic Search with Poisson and Deterministic Resetting

Uttam Bhat, Caterina De Bacco, S. Redner

We investigate a stochastic search process in one, two, and three dimensions in which diffusing searchers that all start at seek a target at the origin. Each of the searc…

cond-mat.stat-mech20152 cited

Rare events statistics of random walks on networks: localization and other dynamical phase transitions

Caterina De Bacco, Alberto Guggiola, Reimer Kühn +1

Rare event statistics for random walks on complex networks are investigated using the large deviations formalism. Within this formalism, rare events are realized as typical events…