Pages that link to "Item:Q2329791"

The following pages link to The dynamic stochastic topic block model for dynamic networks with textual edges (Q2329791):

Displaying 11 items.

• The stochastic topic block model for the clustering of vertices in networks with textual edges (Q111344) (← links)
• Modeling individual email patterns over time with latent variable models (Q374145) (← links)
• Modeling latent topics in social media using dynamic exploratory graph analysis: the case of the right-wing and left-wing trolls in the 2016 US elections (Q2141647) (← links)
• Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance (Q2141916) (← links)
• Modeling community structure and topics in dynamic text networks (Q2304077) (← links)
• The dynamic random subgraph model for the clustering of evolving networks (Q2358931) (← links)
• The latent topic block model for the co-clustering of textual interaction data (Q2416785) (← links)
• Statistical inference on attributed random graphs: fusion of graph features and content: an experiment on time series of Enron graphs (Q2445632) (← links)
• Clustering of dynamic networks through subgraphs: a study of the Enron scandal (Q2803783) (← links)
• Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model (Q5364901) (← links)
• Embedded topics in the stochastic block model (Q6172152) (← links)