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Activity Number:
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126
- Recent Advances in Bayesian Mixed Membership Modeling for Network, Longitudinal, and Multivariate Data
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 3, 2020 : 1:00 PM to 2:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #309890
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Title:
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Multilevel Mixed Membership Stochastic Block Models
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Author(s):
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Tracy Sweet*
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Companies:
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Keywords:
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social networks;
mixed membership;
block models;
multilevel;
network
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Abstract:
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Subgroup or cluster structure is very common in social networks in that some individuals tend to associate more often with some members than others; however, subgroup structure varies across networks and given an ensemble of networks, it may be of interest to consider not only how subgroup structure varies but why it varies. We present a line of research that extends the Mixed Membership Stochastic Block Model (Airoldi et al., 2008) to both examine subgroup variability and incorporate such structure to address substantive research questions.
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Authors who are presenting talks have a * after their name.
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