activity
20072021
most citedTime Critical Social Mobilization: The DARPA Network Challenge Winning Strategy

247 citations · 2.1k across the 45 of their papers we have counts for

collaborators

47 papers

physics.soc-ph2021

The Network Limits of Infectious Disease Control via Occupation-Based Targeting

Demetris Avraam, Nick Obradovich, Niccoló Pescetelli +2

Policymakers commonly employ non-pharmaceutical interventions to manage the scale and severity of pandemics. Of non-pharmaceutical interventions, social distancing policies -- desi…

cs.SI2021★ 4 cited

Contact Tracing: Computational Bounds, Limitations and Implications

Quyu Kong, Manuel Garcia-Herranz, Ivan Dotu +1

Contact tracing has been extensively studied from different perspectives in recent years. However, there is no clear indication of why this intervention has proven effective in som…

cs.SI2021

Social Diffusion Sources Can Escape Detection

Marcin Waniek, Manuel Cebrian, Petter Holme +1

Influencing (and being influenced by) others through social networks is fundamental to all human societies. Whether this happens through the diffusion of rumors, opinions, or virus…

physics.soc-ph2020★ 1 cited

Impossible by Conventional Means: Ten Years on from the DARPA Red Balloon Challenge

Alex Rutherford, Manuel Cebrian, Inho Hong +1

Ten years ago, DARPA launched the 'Network Challenge', more commonly known as the 'DARPA Red Balloon Challenge'. Ten red weather balloons were fixed at unknown locations in the US.…

cs.CV2020★ 12 cited

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning

Ignacio Serna, Aythami Morales, Julian Fierrez +3

We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms. The most popular face recognition benchmarks assume a…

cs.CV2019★ 32 cited

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

Ignacio Serna, Aythami Morales, Julian Fierrez +3

The most popular face recognition benchmarks assume a distribution of subjects without much attention to their demographic attributes. In this work, we perform a comprehensive disc…