Network forecasting

István Z. Kiss, Christian Bick, Péter L. Simon
Christoph Riedl, Eric Bogert
Higher-Order Null Models as a Lens for Social Systems
2024
Physical Review X
August 20, 2024
Giulia Preti, Adriano Fazzone, Giovanni Petri, Gianmarco De Francisci Morales
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland
Using sequences of life-events to predict human lives
2023
Nature Computational Science
December 18, 2023
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
Moritz Laber, Peter Klimek, Martin Bruckner, Liuhuaying Yang & Stefan Thurner
David Liu, Tina Eliassi-Rad
Forecasting hospital-level COVID-19 admissions using real-time mobility data
2023
Nature Communications Medicine
February 14, 2023
Brennan Klein, Ana C. Zenteno, Daisha Joseph, Mohammadmehdi Zahedi, Michael Hu, Martin Copenhaver, Moritz U.G. Kraemer, Matteo Chinazzi, Michael Klompas, Alessandro Vespignani, Samuel V. Scarpino, Hojjat Salmasian
Briony Swire-Thompson, Mitch Dobbs, Ayanna Thomas, Joseph DeGutisde
Nicolò Gozzi, Matteo Chinazzi, Natalie E. Dean, Ira M. Longini Jr., M. Elizabeth Halloran, Nicola Perra, Alessandro Vespignani
Collaborative Hubs: Making the Most of Predictive Epidemic Modeling
2022
American Journal of Public Health
April 14, 2022
Nicholas G. Reich, Justin Lessler, Sebastian Funk, Cecile Viboud, Alessandro Vespignani, Ryan J. Tibshirani, Katriona Shea, Melanie Schienle, Michael C. Runge, Roni Rosenfeld, Evan L. Ray, Rene Niehus, Helen C. Johnson, Michael A. Johansson, Harry Hochheiser, Lauren Gardner, Johannes Bracher, Rebecca K. Borchering, and Matthew Biggerstaff
Jake M. Hofman, Duncan J. Watts, Susan Athey, Filiz Garip, Thomas L. Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J. Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni
Jon Green, Matthew Baum, James Druckman, David Lazer, Katherine Ognyanova, Matthew Simonson, Roy Perlis, Mauricio Santillana
Survey data and human computation for improved flu tracking
2021
Nature Communications
January 8, 2021
Stefan Wojcik, Avleen S. Bijral, Richard Johnston, Juan M. Lavista Ferres, Gary King, Ryan Kennedy, Alessandro Vespignani & David Lazer
Matthew Biggerstaff, Benjamin J. Cowling, Zulma M. Cucunubá, Linh Dinh, Neil M. Ferguson, Huizhi Gao, Verity Hill, Natsuko Imai, Michael A. Johansson, Sarah Kada, Oliver Morgan, Ana Pastore y Piontti, Jonathan A. Polonsky, Pragati Venkata Prasad, Talia M. Quandelacy, Andrew Rambaut, Jordan W. Tappero, Katelijn A. VandemaeleComments to Author , Alessandro Vespignani, K. Lane Warmbrod, Jessica Y. Wong, and for the WHO COVID-19 Modelling Parameters Group
Searching for the backfire effect: Measurement and design considerations
2020
Journal of Applied Memory and Cognition
May 14, 2020
Briony Swire-Thompson, Joseph DeGutis, David Lazer
Moritz U. G. Kraemer, Chia-Hung Yang, Bernardo Gutierrez, Chieh-Hsi Wu, Brennan Klein, David M. Pigott, Open COVID-19 Data Working Group, Louis du Plessis, Nuno R. Faria, Ruoran Li, William P. Hanage, John S. Brownstein, Maylis Layan, Alessandro Vespignani, Huaiyu Tian, Christopher Dye, Oliver G. Pybus, Samuel V. Scarpino
Jessica T. Davis, Nicola Perra, Qian Zhang, Yamir Moreno & Alessandro Vespignani