Theory and Application of Temporal Network Embedding — NSF Award to Regents of the University of Michigan - Ann Arbor (MI, $85,411
Many complex systems in the real world can be modeled as networks. In fact, many networks vary over time. For example, contact networks change from one shape to another as people move around to meet different people. Friendship networks also vary over time on a longer timescale. Such temporal (i.e., time-varying) netwo
| Award title | Theory and Application of Temporal Network Embedding |
|---|---|
| Award ID | 2611677 |
| Awardee | Regents of the University of Michigan - Ann Arbor |
| City | ANN ARBOR |
| State | MI |
| Amount obligated | $85,411 |
| Principal investigator | Naoki Masuda |
| Program | APPLIED MATHEMATICS |
| Start date | 01/15/2026 |
| Abstract | Many complex systems in the real world can be modeled as networks. In fact, many networks vary over time. For example, contact networks change from one shape to another as people move around to meet different people. Friendship networks also vary over time on a longer timescale. Such temporal (i.e., time-varying) network data have been increasingly available, and mathematically founded methods that can efficiently summarize complex temporal network data to help enhance intuitive understanding of |
| Source | NSF Awards |
$799/mo
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