| 8:00 |
14:00 |
Organizers |
Welcome |
| 8:05 |
14:05 |
Danai Koutra |
INVITED: Representation Learning Beyond Homophily and Proximity |
| 8:30 |
14:30 |
Yves-Alexandre de Montjoye |
INVITED: Is it Proportional? Estimating the detrimental network effects of data collections |
| 8:55 |
14:55 |
Kiran Tomlinson, Austin Benson |
Learning Context Effects in Triadic Closure |
| 9:07 |
15:07 |
Xiaoyi Yang, Nynke Niezink, Rebecca Nugent |
Learning a social network from text data |
| 9:20 |
15:20 |
– |
CENTRAL BREAK (15:20-15:40 is fixed by the organizers) |
| 9:40 |
15:40 |
David Gleich |
INVITED: Flow-based Algorithms for Improving Clusters |
| 10:05 |
16:05 |
Rose Yu |
INVITED: Understanding Graph Neural Networks in Learning Network Topology and Dynamics |
| 10:30 |
16:30 |
George Cantwell, Guillaume St-Onge, Jean-Gabriel Young |
Temporal inference for growing trees |
| 10:42 |
16:42 |
Makan Arastuie, Subhadeep Paul, Kevin Xu |
Scalable and Consistent Estimation in Continuous-time Networks of Relational Events |
| 10:55 |
16:55 |
– |
9-minute coffee break |
| 11:04 |
17:04 |
Jesus Arroyo, Daniel Sussman, Carey Priebe, Vince Lyzinski |
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks |
| 11:16 |
17:16 |
Amir Ghasemian, Minzhengxiong Zhang, Edoardo Airoldi |
Model-assisted design of experiments in presence of homophily and interference |
| 11:29 |
17:29 |
Jonas Jull, Johan Ugander |
Harder, better, faster, stronger cascades – or simply larger? |
| 11:41 |
17:41 |
Bruno Messias Farias de Resende, Luciano da Fontoura Costa |
Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian |
| 11:54 |
17:54 |
Benjamin Wild, Tim Landgraf |
Circadian rhythms in social networks |
| 12:06 |
18:06 |
– |
5-minute break |
| 12:11 |
18:11 |
Caterina De Bacco |
INVITED: Interdependence Between Network Layers |
| 12:36 |
18:36 |
Discussion |
PANEL |
| 12:54 |
18:54 |
Organizers |
Closing |