activity
20152022
most citedMultilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships

27 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2022★ 27 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.SI2022★ 5 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…

cs.SI2021★ 20 cited

Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data

Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva +10

Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. The…

physics.soc-ph2020★ 16 cited

Network extraction by routing optimization

Diego Baptista, Daniela Leite, Enrico Facca +2

Routing optimization is a relevant problem in many contexts. Solving directly this type of optimization problem is often computationally unfeasible. Recent studies suggest that one…

cond-mat.stat-mech2015★ 2 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…