activity
20172026
most citedSequences of purchases in credit card data reveal life styles in urban populations

89 citations · 287 across the 13 of their papers we have counts for

collaborators

13 papers

cs.AI2026

Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models

Bruno Bianchi, Diego Tiscornia, Matias Travizano +1

Since the advent of Large Language Models (LLMs), a significant area of research has focused on their intrinsic biases, particularly in political discourse. This study investigates…

physics.soc-ph2021★ 30 cited

Superspreading k-cores at the center of COVID-19 pandemic persistence

Matteo Serafino, Higor S. Monteiro, Shaojun Luo +6

The spread of COVID-19 caused by the recently discovered SARS-CoV-2 virus has become a worldwide problem with devastating consequences. To slow down the spread of the pandemic, mas…

physics.soc-ph2020★ 36 cited

Lessons from being challenged by COVID-19

E. Tagliazucchi, P. Balenzuela, M. Travizano +2

We present results of different approaches to model the evolution of the COVID-19 epidemic in Argentina, with a special focus on the megacity conformed by the city of Buenos Aires…

cs.CR2020

Fair and Decentralized Exchange of Digital Goods

Ariel Futoransky, Carlos Sarraute, Daniel Fernandez +2

We construct a privacy-preserving, distributed and decentralized marketplace where parties can exchange data for tokens. In this market, buyers and sellers make transactions in a b…

cs.CR2020★ 3 cited

WibsonTree: Efficiently Preserving Seller's Privacy in a Decentralized Data Marketplace

Ariel Futoransky, Carlos Sarraute, Ariel Waissbein +2

We present a cryptographic primitive called WibsonTree designed to preserve users' privacy by allowing them to demonstrate predicates on their personal attributes, without revealin…

cs.CR2020★ 4 cited

Wibson Protocol for Secure Data Exchange and Batch Payments

Daniel Fernandez, Ariel Futoransky, Gustavo Ajzenman +2

Wibson is a blockchain-based, decentralized data marketplace that provides individuals a way to securely and anonymously sell information in a trusted environment. The combination…

cs.CR2019

Secure Exchange of Digital Goods in a Decentralized Data Marketplace

Ariel Futoransky, Carlos Sarraute, Ariel Waissbein +3

We are tackling the problem of trading real-world private information using only cryptographic protocols and a public blockchain to guarantee honest transactions. In this project,…

cs.CY2018★ 16 cited

Wibson: A Decentralized Data Marketplace

Matias Travizano, Carlos Sarraute, Gustavo Ajzenman +1

Our aim is for Wibson to be a blockchain-based, decentralized data marketplace that provides individuals a way to securely and anonymously sell information in a trusted environment…

cs.CY2018★ 12 cited

A Bayesian Approach to Income Inference in a Communication Network

Martin Fixman, Ariel Berenstein, Jorge Brea +3

The explosion of mobile phone communications in the last years occurs at a moment where data processing power increases exponentially. Thanks to those two changes in a global scale…

cs.CY2018★ 2 cited

Uncovering the Spread of Chagas Disease in Argentina and Mexico

Juan de Monasterio, Alejo Salles, Carolina Lang +4

Chagas disease is a neglected disease, and information about its geographical spread is very scarse. We analyze here mobility and calling patterns in order to identify potential ri…

cs.SI2017★ 9 cited

Analyzing the Spread of Chagas Disease with Mobile Phone Data

Juan de Monasterio, Alejo Salles, Carolina Lang +4

We use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocali…

physics.soc-ph2017★ 86 cited

Inferring Personal Economic Status from Social Network Location

Shaojun Luo, Flaviano Morone, Carlos Sarraute +2

It is commonly believed that patterns of social ties affect individuals' economic status. Here, we translate this concept into an operational definition at the network level, which…

physics.soc-ph2017★ 89 cited

Sequences of purchases in credit card data reveal life styles in urban populations

Riccardo Di Clemente, Miguel Luengo-Oroz, Matias Travizano +3

Zipf-like distributions characterize a wide set of phenomena in physics, biology, economics and social sciences. In human activities, Zipf-laws describe for example the frequency o…