2017 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation
July 5-8, 2017, Lehman Auditorium, George Washington University, Washington DC, USA
Tutorial Schedule
July 5, 2017
There will be nine three-hour tutorials.
Cost of tutorials:
- With Conference Registration
- $15 each or $20 for 2 or $25 for 3
- Without Conference Registration
- $50 each or $70 for 2 or $75 for 3
- Matrix Methods for Social Network Analysis Data
Nicole Fernandez - Collecting and Data Mining Online Text Data
Daniel Kerchner, Justin Littman, Laura Wrubel, & David A. Broniatowski - Geo-spatial and Temporal Analytics and Visualization
for Networks
L. Richard Carley - Social Cyber Forensics: Discovering Hidden Connections, Information Flows, And
Information Actors in The Modern Information Environment
Nitin Agarwal, Samer Al-khateeb, & Muhammad Nihal Hussein - Integrating Simulation Modeling, Signal Processing and Machine Learning
in the Study of Large Social Systems
Dong Wen - Network Analysis and Visualization Using ORA
Jeff Reminga - Anti-discrimination learning: a causal modeling-based framework
Lu Zhang, Yonkai Wu, & Xintao Wu - Agent Based Simulation and Meta-Modeling
Geoff Morgan - Social Influence and Groups in Twitter
Kathleen M. Carley
Wednesday, July 5, 2017
| Time | Tutorial Sessions |
|---|---|
| Registration begins at 8am | |
| Morning Tutorials 8:30am - 11:30am |
Matrix Methods for Social Network Analysis Data: Practical Applications of Excel
Collecting and Data Mining Online Text Data
Geo-spatial and Temporal Analytics and Visualization for Networks |
| Afternoon Tutorials 12:00pm - 3:00pm |
Social Cyber Forensics: Discovering Hidden Connections, Information Flows, and Information Actors in the Modern
Information Environment Network Analysis and Visualization using ORA |
| Late Afternoon Tutorials 3:30pm - 6:30pm |
Anti-discrimination Learning: A Casual Modeling-based Framework
Agent Based Simulation and Meta-Modeling Social Influence and Groups in Twitter |