Collaborative Research: Network Analysis via Optimal Transport of Markov Embeddings — NSF Award to University of North Carolina at
Networks have been used for many years to model and study a variety of phenomena, including social interactions, co-authorship of scholarly work, and financial interactions. More recently, networks themselves have become objects of study. This research project will develop new statistical approaches for comparing and a
| Award title | Collaborative Research: Network Analysis via Optimal Transport of Markov Embeddings |
|---|---|
| Award ID | 2413928 |
| Awardee | University of North Carolina at Chapel Hill |
| City | CHAPEL HILL |
| State | NC |
| Amount obligated | $275,000 |
| Principal investigator | Andrew Nobel |
| Program | STATISTICS |
| Start date | 08/01/2024 |
| Abstract | Networks have been used for many years to model and study a variety of phenomena, including social interactions, co-authorship of scholarly work, and financial interactions. More recently, networks themselves have become objects of study. This research project will develop new statistical approaches for comparing and aligning networks, and will include applications of these methods to problems in computational neuroscience, systems biology, and urban planning. This research will advance the stat |
| Source | NSF Awards |
$799/mo
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