Samuel V. Scarpino

According to our database, Samuel V. Scarpino authored at least 19 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.

Wan He, Daniel I. Bolnick, Samuel V. Scarpino, Tina Eliassi-Rad

Bioinform., 2026

2025

Deterministic construction of typical networks in network models.

Narayan G. Sabhahit, Moritz Laber, Harrison Hartle, Jasper van der Kolk, Samuel V. Scarpino, Brennan Klein, Dmitri V. Krioukov

CoRR, December, 2025

Computational frame analysis revisited: On LLMs for studying news coverage.

Sharaj Kunjar, Alyssa Hasegawa Smith, Tyler R. Mckenzie, Rushali Mohbe, Samuel V. Scarpino, Brooke Foucault Welles

CoRR, November, 2025

Artificial intelligence for modelling infectious disease epidemics.

Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt

Nat., February, 2025

2024

A Misclassification Network-Based Method for Comparative Genomic Analysis.

Wan He, Tina Eliassi-Rad, Samuel V. Scarpino

CoRR, 2024

2023

The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread.

Antoine Allard, Cristopher Moore, Samuel V. Scarpino, Benjamin M. Althouse, Laurent Hébert-Dufresne

SIAM Rev., May, 2023

2022

Effective resistance against pandemics: Mobility network sparsification for high-fidelity epidemic simulations.

Alexander M. Mercier, Samuel V. Scarpino, Cristopher Moore

PLoS Comput. Biol., November, 2022

A Family of Fitness Landscapes Modeled through Gene Regulatory Networks.

Chia-Hung Yang, Samuel V. Scarpino

Entropy, 2022

2021

Data curation during a pandemic and lessons learned from COVID-19.

Moritz U. G. Kraemer, Samuel V. Scarpino, Vukosi Marivate, Bernardo Gutierrez, Bo Xu, Graham Lee, Jared B. Hawkins, Caitlin M. Rivers, David M. Pigott, Rebecca Katz, John S. Brownstein

Nat. Comput. Sci., 2021

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.

Megan McLaughlin, Karell G. Pellé, Samuel V. Scarpino, Aisha Giwa, Ezra Mount-Finette, Nada Haidar, Fatima Adamu, Nirmal Ravi, Adam Thompson, Barry Heath, Sabine Dittrich, Barry Finette

Frontiers Artif. Intell., 2021

Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation.

Alexander M. Mercier, Samuel V. Scarpino, Cristopher Moore

CoRR, 2021

Networked data and COVID-19.

Samuel V. Scarpino

Proceedings of the GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2021

2020

Socioeconomic bias in influenza surveillance.

Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo, Bruce Clements, Nedialko B. Dimitrov, Lauren Ancel Meyers

PLoS Comput. Biol., 2020

Mobile phone data and COVID-19: Missing an opportunity?

Nuria Oliver, Emmanuel Letouzé, Harald Sterly, Sébastien Delataille, Marco De Nadai, Bruno Lepri, Renaud Lambiotte, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas de Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N. Pham, Frédéric Pivetta, Albert Ali Salah, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan Verhulst, Patrick Vinck

CoRR, 2020

Fighting a Pandemic: Convergence of Expertise, Data Science and Policy.

Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2018

The interhospital transfer network for very low birth weight infants in the United States.

Munik Shrestha, Samuel V. Scarpino, Erika M. Edwards, Lucy T. Greenberg, Jeffrey D. Horbar

EPJ Data Sci., 2018

2015

Enhancing disease surveillance with novel data streams: challenges and opportunities.

Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren A. Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski

EPJ Data Sci., 2015

A message-passing approach for recurrent-state epidemic models on networks.

Munik Shrestha, Samuel V. Scarpino, Cristopher Moore

CoRR, 2015

2012

Optimizing Provider Recruitment for Influenza Surveillance Networks.

Samuel V. Scarpino, Nedialko B. Dimitrov, Lauren Ancel Meyers

PLoS Comput. Biol., 2012