An Assessment of Node Classification Accuracy in Social Networks Using Label-Dependent Feature Extraction.
Tomasz KajdanowiczPrzemyslaw KazienkoPiotr DoskoczKrzysztof LitwinPublished in: WSKS (1) (2010)
Keyphrases
- social networks
- classification accuracy
- feature extraction
- feature selection
- feature space
- feature set
- social network analysis
- betweenness centrality
- pattern recognition
- online social networks
- heterogeneous social networks
- centrality measures
- pattern classification
- training set
- training data
- feature vectors
- support vector
- link prediction
- principal component analysis
- naive bayes
- class labels
- information diffusion
- social interaction
- social networking sites
- overlapping communities
- multi label
- social media
- face recognition
- feature representation
- degree centrality
- community detection
- support vector machine
- social networking
- preprocessing
- directed graph
- complex networks
- network structure
- text categorization
- dimensionality reduction
- graph structure
- linear discriminant analysis
- iris recognition
- social network data
- texture features
- wavelet transform