Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection.
Yoonseop KangSeungjin ChoiPublished in: ICONIP (1) (2009)
Keyphrases
- community detection
- graph clustering
- similarity measure
- graph mining
- label propagation
- massive graphs
- label propagation algorithm
- real world graphs
- complex networks
- overlapping communities
- network analysis
- social networks
- link analysis
- community structure
- densely connected
- clustering method
- information propagation
- link prediction
- neighborhood graph
- hyper graph
- biological networks
- graph theory
- real world social networks
- social graph
- citation networks
- graph model
- real world networks
- community discovery
- weighted graph
- random walk
- bipartite graph
- graph structure
- information networks
- community detection algorithms
- information diffusion
- co occurrence
- bipartite networks
- semi supervised
- similarity search
- natural language
- small world
- training data
- data mining