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*