Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks.
Michael Richard MedlandKyle Robert HarrisonBeatrice M. Ombuki-BermanPublished in: NaBIC (2014)
Keyphrases
- complex networks
- genetic programming
- object oriented
- social networks
- evolutionary algorithm
- fitness function
- community detection
- symbolic regression
- scale free
- network structure
- network analysis
- social network analysis
- community structure
- graph theory
- genetic algorithm
- small world
- link prediction
- biological networks
- real world networks
- information theoretic concepts
- gene expression programming
- scale free networks
- relational databases
- data model
- grammar guided genetic programming
- bayesian networks
- bayesian inference
- query language
- network evolution
- functional modules
- network motifs
- seemingly unrelated