A Parallel Graph Partitioning Approach to Enhance Community Detection in Social Networks.
Tales LopesVictor StröeleMario A. R. DantasRegina M. M. BragaJean-François MéhautPublished in: ISCC (2020)
Keyphrases
- community detection
- graph partitioning
- social networks
- community structure
- complex networks
- partitioning algorithm
- graph clustering
- graph model
- link prediction
- image segmentation
- weighted graph
- network analysis
- social network data
- community discovery
- social network analysis
- community detection algorithms
- data clustering
- spectral clustering
- real world networks
- normalized cut
- graph mining
- information diffusion
- overlapping communities
- clustering algorithm
- superpixels
- betweenness centrality
- data structure
- massive graphs
- community formation
- computer vision
- heterogeneous networks
- online social networks
- level set
- social media