Empirical evaluation of applying ensemble methods to ego-centred community identification in complex networks.
Rushed KanawatiPublished in: Neurocomputing (2015)
Keyphrases
- empirical evaluation
- complex networks
- ensemble methods
- community structure
- community detection
- community discovery
- prediction accuracy
- real world networks
- random forests
- ensemble learning
- decision trees
- machine learning methods
- network analysis
- social networks
- benchmark datasets
- network structure
- social network analysis
- random forest
- drifting concepts
- small world
- graph theory
- base classifiers
- generalization ability
- majority voting
- scale free
- classifier ensemble
- bootstrap sampling
- scale free networks
- network evolution
- biological networks
- citation networks
- information theoretic concepts
- decision tree ensembles
- graph mining
- ensemble feature selection
- feature subset
- base learners
- link prediction
- machine learning algorithms
- overlapping communities
- artificial neural networks
- high throughput