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June 26, 2026
Nature Aging
Network-driven discovery of repurposable drugs targeting hallmarks of aging
June 12, 2026
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May 28, 2026
Nature Machine Intelligence
Human–AI interactions reshape the self and our social networks
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April 1, 2014
On Minorities and Outliers: The Case for Making Big Data Small
2014
Boston
Boston
Big Data & Society
Foucault Welles, B.
March 19, 2014
Controlling contagion processes in activity-driven networks
2014
Boston
Boston
Physical Review Letter, 112:118702, (2014)
S. Liu, N. Perra, M. Karsai, A. Vespignani
March 14, 2014
The Parable of Google Flu: Traps in Big Data Analysis
2014
Boston
Boston
Science Vol. 343
D. Lazer, R. Kennedy, G. King, A. Vespignani
March 13, 2014
A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease
2014
Boston
Boston
BMC Systems Biology
J. Mench, A. Sharma, M. H. Cho, R. J. Mayer, S. I. Rennard, B. Celli, B. E. Miller, N. Locantore, R. Tal-Singer, S. Ghosh, C. Larminie, G. Bradley, J. H. Riley, A. Agusti, E. K. Silverman, A.-L. Barabási
February 10, 2014
Time varying networks and the weakness of strong ties
2014
Boston
Boston
Scientific Reports
M. Karsai, N. Perra, A. Vespignani
February 6, 2014
Quantifying information flow during emergencies
2014
Boston
Boston
Scientific Reports
L. Gao, C. Song, Z. Gao, A.-L. Barabasi, J. P. Bagrow, D. Wang
January 31, 2014
Political Networks
2014
Boston
Boston
Social Networks
S. McClurg, D. Lazer
January 20, 2014
Network Mapping by Replaying Hyperbolic Growth
2014
Boston
Boston
IEEE/ACM Transactions on Networking
F. Papadopoulos, C. Psomas, and D. Krioukov
January 4, 2014
Modeling and predicting popularity dynamics via reinforced poisson processes
2014
Boston
Boston
Proceedings of the 28th AAAI Conference on Artificial Intelligence
H. Shen, D. Wang, C. Song, A.-L. Barabási
November 16, 0024
Faster Optimization on Sparse Graphs via Neural Reparametrization
0024
Boston
Boston
Proceedings of Machine Learning Research
Csaba Both, Nima Dehmamy, Jianzhi Long, Rose Yu
Disentangled Multi-Fidelity Deep Bayesian Active Learning
Boston
Boston
PMLR
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu
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