Individual Files
Presentations
Day One
- Opening Remarks - Bob Bond
- Keynote - Social Network Interventions - Nicholas A. Christakis
- Discovering Relationships in Text: NLP informs SNA - James Keiser
- Information-Theoretic Limits of Network Inference Problems - Galen Reeves
- Understanding Regularized Spectral Clustering via Graph Conductance - Karl Rohe
- Finding the Way for Graph Matching - Daniel Sussman
- Diffusion Games - Evan Sadler
- Stochastic Seeding Strategies in Networks - Dean Eckles
- A Graph Theoretic Approach to Causal Inference under General Interference - Panos Toulis
Day Two
- Keynote - Theory and Practice in Cybersecurity Operations - Josiah Dykstra
- SECURE: Science and Engineering for Cybersecurity by Uncertainty Quantification and Rigorous Experimentation - Ali Pinar
- How Much Structure Exists in my Transactional Data? - Richard Darling
- Uncovering Human Trafficing Networks through Text Analysis - Olga Simek
- Active Graph Mining Algorithmic Problems on Team Formationand Engineering - Evimaria Terzi
- Inference for Network Regressions with Exchangeable Errors - Bailey Fosdick
- Simplicial Closure and Higher-Order Link Prediction - Austin Benson
Posters 2019
- Crawling the Community Structure of Multiplex Networks - Ricky Laishram
- Detecting Self-Propagating Attacks in Cyber Networks - Timothy Sakharov, Tina Eliassi-Rad
- Latent Community Adaptive Network Regression - Heather Mathews, Alexander Volfovsky
- Polarization on Social Media - Kiran Garimella
- The Geometry of Community Detection - Vaishakhi Mayya, Alexander Volfovsky
- Applying Interdiction Optimization to Cybersecurity Problems in Energy Infrastructure - Bill Hart
- Causal Impact Estimation of Influence Operations on Social Networks - Steven Smith
- Evaluating Attacks on Vertex Classification - Benjamin A. Miller, Mustafa Çamurcu, Tina Eliassi-Rad
- GLEE: Geometric Laplacian Eigenmap Embedding - Leo Torres, Tina Eliassi-Rad
- Mining Tours and Paths in Activity Networks - Sofia Nikolakaki
- Observational Causal Inference Using Network Information - Yan Leng
- Representation Learning of Random Graphs with Deep autocoders - Peter Morales, Rajmonda Caceres
- Scalable Graph Matching - Lin Li