Monday, June 11 — 8:50 AM to 6:30 PM, Louis Armstrong Room
Organized by Tina Eliassi-Rad, Bailey Fosdick, Dan Larremore, & Aaron Clauset
| Time | Type | Title | Speaker |
|---|---|---|---|
| 8:50 | WELCOME | Bailey Fosdick | |
| 9:00 | Invited | Inference beyond network models | Martin Rosvall |
| 9:40 | Contributed | Thermodynamics of network model fitting with spectral entropies | Carlo Nicolini, Angelo Bifone, and Vladimir Vlasov |
| 10:00 | Contributed | Uncovering the evolution of dynamic networks using temporal data | Naomi Arnold, Raul Mondragon, and Richard Clegg |
| 10:20 | Flash Talk | Modeling the dynamics of social networks and continuous actor attributes | Nynke Niezink |
| 10:30 | COFFEE | ||
| 11:15 | Invited | A Quest for Structure: Joint Graph Structure & Semi-Supervised Inference | Leman Akoglu |
| 11:55 | Contributed | Community detection in networks with unobserved edges | Till Hoffman, Leto Peel, Renaud Lambiotte, and Nick Jones |
| 12:15 | Contributed | Evaluating a detectability threshold in community detection from the modularity landscape | Tatsuro Kawamoto and Yoshiyuki Kabashima |
| 12:35 | Flash Talk | Global spectral clustering in dynamic networks | David Choi, Fuchen Liu and Kathryn Roeder |
| 12:45 | LUNCH | ||
| 2:15 | Invited | Identifying overlapping terrorist cells from the Noordin Top actor-event network | Veronica Vinciotti |
| 2:55 | Contributed | When networks are not enough: Inference of optimal higher-order models of complex systems | Ingo Scholtes |
| 3:15 | Contributed | Flexible model selection for mechanistic network models via super learner | Sixing Chen, Antonietta Mira and Jukka-Pekka Onnela |
| 3:35 | Flash Talk | Reconstructing networks with heterogeneous and unknown errors | Tiago Peixoto |
| 3:45 | COFFEE | ||
| 4:20 | Invited | Randomization inference for spillovers in networks | Dean Eckles |
| 5:00 | Contributed | Estimating causal effects under interference using Bayesian generalized propensity scores | Laura Forastiere, Edoardo Airoldi, and Albert Wu |
| 5:20 | Contributed | Distribution free learning and stochastic gradient descent for relational data | Victor Veitch, Wenda Zhou, Morgane Austern, David Blei, and Peter Orbanz |
| 5:40 | Flash Talk | Empirical evaluation of generative network models to approximate ground truth system | Viplove Arora and Mario Ventresca |
| 5:50 | PANEL | Martin Rosvall, Leman Akoglu, Veronica Vinciotti, Dean Eckles | |
| 6:25 | CLOSING | Organizers |