Individual Files
Presentations
Day One
- Keynote – Inference and Model Selection for Mechanistic Network Models – Jukka-Pekka Onnela
- Learning to Expand Partially Observed Networks – Tina Eliassi-Rad
- Dynamic Networks with Multi-Scale Temporal Structure – Eric Kolaczyk
- Scalable Inference and Summarization of Multi-Source Network Data – Danai Koutra
- RetSynth: Solving All Optimal Retrosynthesis Solutions using Dynamically Constrained Integer Linear Programming – Leanne Whitmore
- An Efficient Data-Driven Approach to Static an Dynamic Ambulance Location for Emergency Medical Services – Lavanya Marla
- Mechanisms in Coordinated Mobile Crowd Sensing Platforms – Christine Bassem
- Influence Estimation on Social Media Networks using Causal Inference – Edward Kao
- Banquet Speaker – Out of Network – Rand Waltzman
Day Two
- Keynote – Network Science and National Security – Robert Bond
- Design, Generation and Validation of Extreme Scale Power-Law Graphs – Siddharth Samsi
- Noise and Dynamics in High Expansion Network – Sanjukta Bhowmick
- Model-Assisted Design of Experiments in the Presence of Social Network Information – Edoardo Airoldi
- Classical, Graph, and Nonlocal Laplacians – Richard Lehoucq
- A Survey of Modern Analysis on Graphs: Open Problems – Christopher Long
Posters 2018
- Learning to Complete Paritally Observed Networks – Timothy LaRock, Timothy Sakharov, Sahely Bhadram, and Tina Eliassi-Rad
- Analyzing Higher-Order Network Data Using Simplicial Complexes – Michael T. Schaub, Austin Benson, Rediet Abebe, Jon Kleinbergm, and Ali Jadbabaie
- Network Inference from Consensus Dynamics – Santiago Segarra, Michael T. Schaub, and Ali Jadbabaie
- Collective Classification for Social Media Credibility Estimation – Olga Simek and Fred Waugh
- A Bridge Between Homotopy Theory and Network Science – Leo Torres, Pable Suarez Serrato, and Tina Eliassi-Rad
- Approximate Subgraph Matching with Spatial and Temporal Information – Andrew Heier, Michael Yee, John Passarelli, and Samuel Schick
- Parameter-induced Uncertainty in Network Inference – Arvind Prasadan, Rajmonda S. Caceres, and Vijay Gadepalli
- Hypothesis Testing for Multi-layer Network Data – Jun Li, Maciej Kandula, David Kriel, and Eric D. Kolaczyk
- WATCH: Wearables at the Canyon for Health – Clifford Anderson-Bergman