Tuesday, June 20 — 8:50 AM to 6:00 PM
Organized by Tamara Broderick, Bailey Fosdick, Dan Larremore, & Aaron Clauset
Download slides via the green links in the schedule below
Time | Type | Title | Speaker |
---|---|---|---|
8:50 | WELCOME | Dan Larremore & Aaron Clauset | |
9:00 | Invited | Network sampling for Stochastic Blockmodel inference | Karl Rohe |
9:40 | Contributed | Efficient detection of hierarchical block structures in networks | Leto Peel |
10:00 | Contributed | Convex Relaxation for Community Detection with Covariates | Bowei Yan |
10:20 | Flash Talk | A blockmodel for node popularity in networks with community structure | Srijan Sengupta |
10:30 | COFFEE | ||
11:00 | Invited | Causal inference with social network data exhibiting dependence, contagion, and interference | Betsy Ogburn |
11:40 | Contributed | Statistical Estimation and Inference for Network Centrality in Covariance Derived Networks | Manjari Narayan |
12:00 | Contributed | Estimation of Monotone Treatments in Network Experiments | David Choi |
12:20 | Flash Talk | Inferring visibility networks from high-resolution remotely sensed data | Jia Li (Vena) |
12:30 | LUNCH | ||
2:00 | Flash Talk | Data-enabled Inference of Spatial Complex Networks | Jie Sun |
2:10 | Invited | Lifted and Constrained Sampling of Attributed Graphs with Generative Network Models | Jennifer Neville |
2:50 | Contributed | Consistency between model selection and link prediction in networks | Tiago Peixoto |
3:10 | Flash Talk | Estimating the number of communities in a bipartite network | Tzu-Chi Yen |
3:20 | Flash Talk | Parameter Inference and Model Selection for Mechanistic Network Models | JP Onnela |
3:30 | COFFEE | ||
4:00 | Flash Talk | Sampling and estimation for (sparse) exchangeable graphs | Victor Veitch |
4:10 | Contributed | A Paintbox Representation of Edge-Exchangeable Network Models | Trevor Campbell |
4:30 | Contributed | Standard errors for regression on relational data with exchangeable errors | Frank Marrs |
4:50 | Flash Talk | The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks | Kevin Xu |
5:00 | Flash Talk | Detectability thresholds in networks with dynamic link and community structure | Paolo Barucca |
5:10 | Contributed | Sparse and Projective Latent Space Models | Neil Spencer |
5:30 | PANEL | Karl Rohe, Betsy Ogburn, and Jennifer Neville | |
5:55 | CLOSING | Dan Larremore & Aaron Clauset |