Conditionally Independent Dyads (CID) network models: A latent variable approach to statistical social network analysis.
Beau DabbsSamrachana AdhikariTracy M. SweetPublished in: Soc. Networks (2020)
Keyphrases
- social network analysis
- latent variables
- conditionally independent
- complex networks
- probabilistic model
- link prediction
- network analysis
- communication patterns
- social networks
- centrality measures
- key players
- latent variable models
- random variables
- prior knowledge
- social network data
- hidden variables
- criminal networks
- graph theory
- terrorist networks
- cohesive subgroups
- link formation
- probability distribution
- network evolution
- network structure
- social structure
- heterogeneous social networks
- model selection
- likelihood ratio
- graphical models
- community discovery
- technology enhanced learning
- statistical analysis
- small world
- knowledge discovery
- network topology
- statistical methods
- community structure