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Crowding and the shape of COVID-19 epidemics

Benjamin Rader, Samuel V. Scarpino, Anjalika Nande, Alison L. Hill, Ben Adlam, Robert C. Reiner, David M. Pigott, Bernardo Gutierrez, Alexander E. Zarebski, Munik Shrestha, John S. Brownstein, Marcia C. Castro, Christopher Dye, Huaiyu Tian, Oliver G. Pybus, Moritz U. G. Kraemer
Nature Medicine26, 1829–1834 (2020)

Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems

Jiachen Ye, Peng Ji, David Waxman, Wei Lin, Yamir Moreno
Chaos, Solitons and Fractals139, 110065 (2020)

Null models for multioptimized large-scale network structures

Sebastian Morel-Balbi, Tiago De Paula Peixoto
Physical Review E102, 032306 (2020)

Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability

Flávio C. Coelho, Raquel M. Lana, Oswaldo G. Cruz, Daniel A. M. Villela, Leonardo S. Bastos, Ana Pastore Y Piontti, Jessica T. Davis, Alessandro Vespignani, Cláudia T. Codeço, Marcelo F. C. Gomes
PLoS ONE15(9), e0238214 (2020)

A computational framework for modeling and studying pertussis epidemiology and vaccination

Paolo Castagno, Simone Pernice, Gianni Ghetti, Massimiliano Povero, Lorenzo Prandelli, Daniela Paolotti, Gianfranco Balbo, Matteo Sereno, Marco Beccuti
BMC Bioinformatics21(8), 344 (2020)

Social Media and Open Data to Quantify the Effects of Noise on Health

Luis Gasco, Rossano Schifanella, Luca Maria Aiello, Daniele Quercia, Cesar Asensio, Guillermo de Arcas
Frontiers in Sustainable Cities2(41), (2020)

Flocking-enhanced social contagion

Demian Levis, Albert Dìaz-Guilera, Ignacio Pagonabarraga, Michele Starnini
Physical Review Research2(3), (2020)

Disease and information spreading at different speeds in multiplex networks

Fátima Velásquez-Rojas, Paulo Cesar Ventura, Colm Connaughton, Yamir Moreno, Francisco Aparecido Rodrigues, Federico Vazquez
Physical Review E102(2), 022312 (2020)

Learning Opinion Dynamics From Social Traces

Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 764–773 (2020)

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T. Davis, Alessandro Vespignani, Mauricio Santillana
Journal of medical Internet research22(8), e20285 (2020)

Notable Site Recognition using Deep Learning on Mobile and Crowd-sourced Imagery

Jimin Tan, Anastasios Noulas, Diego Sáez, Rossano Schifanella
2020 21st IEEE International Conference on Mobile Data Management (MDM) (2020)

Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

Alberto Aleta, David Martín-Corral, Ana Pastore Y Piontti, Marco Ajelli, Maria Litvinova, Matteo Chinazzi, Natalie E. Dean, M. Elizabeth Halloran, Ira M. Longini Jr, Stefano Merler, Alex Pentland, Alessandro Vespignani, Esteban Moro, Yamir Moreno
Nature Human Behaviour4, 964–971 (2020)

X2R2: a tool for explainable and explorative reidentification risk analysis

Tom Rolandus Hagedoorn, Rohit Kumar, Francesco Bonchi
Proceedings of the VLDB Endowment - ACM Digital Library13(12), 2929-2932 (2020)

Behavioural patterns behind the demise of the commons across different cultures

Marko Jusup, Felipe Cardoso-Maciel, Carlos Gracia-Lázaro, C. Liu, Zhen Wang, Yamir Moreno
Royal Society Open Science7(7), (2020)

Relevance of temporal cores for epidemic spread in temporal networks

Martino Ciaperoni, Edoardo Galimberti, Francesco Bonchi, Ciro Cattuto, Francesco Gullo, Alain Barrat
Scientific Reports10, 12529 (2020)

Aharonov-Bohm Phase is Locally Generated Like All Other Quantum Phases

Chiara Marletto, Vlatko Vedral
Physical Review Letters125(4), 040401 (2020)

Latent Poisson models for networks with heterogeneous density

Tiago De Paula Peixoto
Physical Review E102, 012309 (2020)

Data-driven contact structures: From homogeneous mixing to multilayer networks

Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno
Plos Computational Biology16(7), e1008035 (2020)

Merge-split Markov chain Monte Carlo for community detection

Tiago De Paula Peixoto
Phyisical Review E102, 012305 (2020)

Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning

Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
Proceedings of the 37th International Conference on Machine Learning119, 6862-6873 (2020)

Artificial Intelligence and Concerns About the Future: A Case Study in Norway

Kyriaki Kalimeri, Ingvar Tjostheim
International Conference on Human-Computer Interaction12203, 273-284 (2020)

Socioeconomic bias in influenza surveillance

Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo, Bruce Clements, Nedialko B. Dimitrov, Lauren Ancel Meyers
PLOS Computational Biology16(7), e1007941 (2020)

COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown

Emanuele Pepe, Paolo Bajardi, Laetitia Gauvin, Filippo Privitera, Brennan Lake, Ciro Cattuto, Michele Tizzoni
Scientific Data7, 230 (2020)