MURI ANNUAL REVIEW MEETINGThe meeting will take place at UC Irvine on January 10th, 2012.All events in room 6011 in Donald Bren Hall unless indicated otherwise. Research talks are scheduled to be 20 minutes long with an additional 10 minutes per session available for discussion and questions. Links to the slide talks and the posters will be available on this Web page on the day of the meeting. | |
8:30 | Continental Breakfast | 9:00 | Introduction and Project Overview Padhraic Smyth, Professor, Department of Computer Science, UC Irvine |
SESSION 1 |
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9:20 |
External-Memory Network Analysis Algorithms
for Naturally Sparse Graphs Michael Goodrich, Professor, Computer Science, UC Irvine |
9:45 | New Models for Exponential Family Random Networks Ian Fellows, Statistics, UCLA |
10:05 | Set-Differencing Data Structures
David Eppstein, Professor, Computer Science, UC Irvine |
10:30 | COFFEE BREAK |
SESSION 2 |
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10:50 | Hierarchical Statistical Models for Event-Based Social Network Data Chris DuBois, Statistics, UC Irvine |
11:10 | Scalable Statistical Estimation Methods for Large Time-Varying Networks David Hunter, Professor, Statistics, Penn State |
11:30 | Large-Scale Social Network Analysis of Facebook Data Emma Spiro, Sociology, UC Irvine |
12:00 | Break for lunch (lunch for PIs + visitors at the University Club) |
POSTER SESSION |
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1:00 - 2:30 |
James Foulds, UC Irvine Interpretable Latent Feature Models for Text-Augmented Social Networks Lowell Trott, UC Irvine Category-Based Routing in Social Networks: Membership Dimension and the Small-World Phenomenon Joe Simons, UC Irvine Fully Retroactive Approximate Range and Nearest Neighbor Searching Michael Schweinberger, Penn State Scalable Models of Networks: the Importance of Local Dependence Duy Vu, Penn State Nested Case-Control Sampling for Egocentric and Relational Cox Models Pavel Krivitsky, Penn State Adjusting for Network Size and Composition Effects in ERGMs Zack Almquist, UC Irvine Point Process Models for Household Distributions within Small Areal Units Ragupathyraj Valluvan, UC Irvine Semi-parametric vertex set prediction for dynamic networks using latent tree models Sean Fitzhugh, UC Irvine Enumeration of Vertex Sets via Link-Trace Methods Eunhui Park, U Maryland Self-Adjusting Geometric Data Structures for Latent-Space Embedding |
SESSION 3 |
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2:30 | Order-Stable Parametrizations for ERGMs Carter Butts, Professor, Sociology, UC Irvine |
2:50 | ERGMS for Rank-Order Networks Pavel Krivitsky, Statistics, Penn State |
3:20 | Estimating the Size of Hidden Populations based on Partially-Observed Network Data Mark Handcock, Statistics, UCLA |
3:40 | WRAP-UP, CLOSING COMMENTS |
4:00 | ADJOURN |