6 citations · 13 across the 7 of their papers we have counts for
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cs.SI2016
Modeling community structure and topics in dynamic text networks
Teague Henry, David Banks, Christine Chai +1
The last decade has seen great progress in both dynamic network modeling and topic modeling. This paper draws upon both areas to create a Bayesian method that allows topic discover…
stat.ME2016★ 2 cited
Modeling Heterogeneous Peer Assortment Effects using Finite Mixture Exponential Random Graph Models
Teague R Henry, Kathleen M Gates, Mitchell J Prinstein +1
This article develops a class of models called Sender/Receiver Finite Mixture Exponential Random Graph Models (SRFM-ERGMs) that enables inference on networks. This class of models…