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Activity Details


402 Tue, 8/5/2014, 2:00 PM - 3:50 PM CC-104A
Graph Theory Methods — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Bailey Fosdick, SAMSI   
2:05 PM Selecting a Non-Negative Factorization Model for Statistical Inference on Time Series of Graphs Nam Lee ; Youngser Park, Johns Hopkins University ; Carey Priebe, Johns Hopkins University ; Michael Rosen, Johns Hopkins University ; I-Cheng Wang, Johns Hopkins University
2:20 PM Latent Space Models for Dynamic Networks Daniel Sewell, University of Illinois at Urbana-Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign
2:35 PM Spectral Clustering in Heterogeneous Networks Srijan Sengupta, University of Illinois at Urbana-Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign
2:50 PM Spectral Bootstrapping for Networks Xinyu Kang, Boston University ; Prakash Balachandran, Boston University ; Eric Kolaczyk, Boston University
3:05 PM Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter Influence Translate to the Real World? Shawn Mankad ; George Michailidis, University of Michigan
3:20 PM Seeded Graph Matching Vince Lyzinski, Johns Hopkins University
3:35 PM Floor Discussion



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