Graphical models based hierarchical probabilistic community discovery in large-scale social networks.
Haizheng ZhangKe KeWei LiXuerui WangPublished in: Int. J. Data Min. Model. Manag. (2010)
Keyphrases
- graphical models
- community discovery
- probabilistic model
- social network analysis
- bayesian networks
- belief networks
- community detection
- belief propagation
- factor graphs
- community structure
- social networks
- complex networks
- probabilistic graphical models
- network analysis
- markov networks
- statistical relational learning
- approximate inference
- probabilistic inference
- generative model
- graph mining
- structure learning
- graph structure
- conditional independence
- conditional random fields
- link prediction
- graph model
- posterior probability
- probabilistic reasoning
- graph partitioning
- real world networks
- directed graphical models
- probabilistic logic
- markov logic networks