A Graph Clustering Algorithm Using Attraction-Force Similarity for Community Detection.
Hongfang ZhouBingyan XiYihui ZhangJunhuai LiFacun ZhangPublished in: IEEE Access (2019)
Keyphrases
- community detection
- graph clustering
- clustering algorithm
- label propagation
- graph mining
- complex networks
- massive graphs
- network analysis
- normalized cut
- label propagation algorithm
- social networks
- link prediction
- link analysis
- community structure
- similarity measure
- real world graphs
- overlapping communities
- bipartite graph
- random walk
- information propagation
- graph theory
- densely connected
- hyper graph
- graph partitioning
- real world networks
- biological networks
- information networks
- structured data
- spectral clustering
- networked data
- bipartite networks
- community discovery
- community formation
- social network analysis
- k means
- similarity matrix
- clustering method
- graph structure
- community detection algorithms
- active learning
- information extraction
- graph databases
- supervised learning
- directed graph
- distance metric
- machine learning