Subgraph Classification, Clustering and Centrality for a Degree Asymmetric Twitter Based Graph Case Study: Suicidality.
Keith AndrewEric SteinfeldsKarla M. AndrewKay OpalenikPublished in: CoRR (2019)
Keyphrases
- case study
- social networks
- graph classification
- unsupervised clustering
- graph theoretic
- clustering algorithm
- graph mining
- support vector machine
- social media
- maximum weight
- k means
- similarity graph
- text classification
- graph databases
- graph model
- social network analysis
- polarity classification
- clustering analysis
- graph properties
- graph partitioning
- som neural network
- directed graph
- clustering method
- feature vectors
- feature selection
- frequent subgraph mining
- weighted graph
- training set
- structured data
- unsupervised learning
- random walk
- classification accuracy
- graph data
- decision trees
- feature extraction
- community discovery
- feature space
- graph clustering
- maximum matching
- real world
- degree distribution
- topic detection
- connected components
- class labels
- graph structure
- bipartite graph
- spectral clustering