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AMS Weekly Seminar | Subhabrata Sen
September 26 @ 1:30 pm - 2:30 pm
Location: Gilman 50
When: September 26th at 1:30 p.m.
Title: Community detection on multi-view networks
Abstract: The community detection problem seeks to recover a latent clustering of vertices from an observed random graph. This problem has attracted significant attention across probability, statistics and computer science, and the fundamental thresholds for community recovery have been characterized in the last decade. Modern applications typically collect more fine-grained information on the units under study. For example, one might measure relations of multiple types among the units, or observe an evolving network over time. In this talk, we will discuss the community detection problem on such `multi-view’ networks. We will present some new results on the fundamental thresholds for community detection in these models. Finally, we will introduce algorithms for community detection based on Approximate Message Passing.
Zoom link: https://wse.zoom.us/j/96299385386?pwd=HvOzDnw7A2SOQkMrbBbr5AXjqurdj0.1