On Scale-Free Prior Distributions and Their Applicability in Large-Scale Network Inference with Gaussian Graphical Models.
Paul SheridanTakeshi KamimuraHidetoshi ShimodairaPublished in: Complex (1) (2009)
Keyphrases
- scale free
- complex networks
- small world
- gaussian graphical models
- small world networks
- power law
- scale free networks
- fully connected
- community structure
- small world properties
- degree distribution
- clustering coefficient
- protein protein interaction networks
- network structure
- real world networks
- bayesian networks
- social networks
- biological networks
- power law distribution
- network model
- graphical models
- supervised learning