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495 !
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Thu, 8/6/2020,
10:00 AM -
2:00 PM
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Virtual
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Statistical Methods for Networks — Contributed Papers
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Section on Statistical Learning and Data Science
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Chair(s): Adam Rothman, University of Minnesota
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Estimation of the Epidemic Branching Factor in Noisy Contact Networks
Wenrui Li, Boston University; Eric Kolaczyk, Boston University; Daniel L Sussman, Boston University
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Matrix Factorization Methods for Community Detection in Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
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A Bayesian Nonparametric Latent Space Approach for Modeling Evolving Communities in Dynamic Networks
Joshua Loyal, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
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Consistent Nonparametric Hypothesis Testing for Low Rank Random Graphs with Negative or Repeated Eigenvalues
Joshua Agterberg, Johns Hopkins University; Minh Tang, NC State University; Carey Priebe, Johns Hopkins University; Mao Hong, Johns Hopkins University
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A Statistical Interpretation of Spectral Embedding: The Generalized Random Dot Product Graph
Patrick Rubin-Delanchy, University of Bristol; Joshua Cape, University of Michigan; Minh Tang, NC State University; Carey Priebe, Johns Hopkins University
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Dynamic Latent Space Network Models with Attractors for Flocking and Polarization
Xiaojing Zhu, Boston University; Eric Kolaczyk, Boston University; Konstantinos Spiliopoulos, Boston University; Dylan Walker, Boston University
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Spectral Filtering for Core Structure Identification in Complex Networks
Ruizhong Miao, University of Virginia; Tianxi Li, University of Virginia
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