Individual Files
Presentations
Day One
- Symposium Overview – Nadya Bliss
- Keynote – Graph Detection and Estimation Theory – Patrick J. Wolfe
- The Elements of Statistical Network Analysis – Edo Airoldi
- Propagating Uncertainty in Network Problems Eric D. Kolaczyk
- Dynamics and Control of Adaptive Networks – Ira Schwartz and Leah B. Shaw
- Network Visualization in Biology – Hanspeter Pfister
- Persistent Hub Discovery in Sparse Correlation Networks – Alfred Hero
- Applying Tracking Theory to the Network Domain – James P. Ferry
- Sub-Graph Detection Theory – Jeremy Kepner, et al
- The Next Net – Alex Pentland
Day Two
- Keynote – Building a Computational Social Science – David Lazer
- Learning Causal Models of Behavior in Networks – David Jensen
- Network Analysis and Intent Recognition from Multimedia Content – William Campbell
- Graph Analysis-Lessons Learned – Eric Bloedorn
- Organized Complexity and Network Science: Making Sense of Network Data – David Alderson
- Joint Exploitation of Content and Externals: Statistical Inference on (time series of) Attributed Graphs – Carey E. Priebe
- Inferring Relevant Relationships from Interpersonal Communication – Winter Mason, et al
- Automated Graph Construction on Tracks from Wide Area Video Data – Edward Kao, et al