Network community detection with edge classifiers trained on LFR graphs.
Twan van LaarhovenElena MarchioriPublished in: ESANN (2013)
Keyphrases
- community detection
- real world networks
- complex networks
- community detection algorithms
- densely connected
- community structure
- social networks
- real world social networks
- graph mining
- link prediction
- undirected graph
- graph clustering
- bipartite networks
- information networks
- overlapping communities
- community discovery
- network analysis
- network structure
- real world graphs
- weighted graph
- training set
- scale free
- graph theory
- social graph
- citation networks
- information diffusion
- social network analysis
- massive graphs
- networked data
- cohesive subgroups
- small world
- information propagation
- community formation
- random graphs
- biological networks
- directed graph
- decision trees
- graph databases
- training data
- social network data
- network evolution
- label propagation
- bipartite graph
- hyper graph
- random walk
- feature selection
- strongly connected
- network model
- social media