Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition.
Yuxiang RenLin MengJiawei ZhangPublished in: HT (2020)
Keyphrases
- network analysis
- social network analysis
- link prediction
- community discovery
- social networks
- graph theory
- network structure
- bipartite graph
- graph mining
- random walk
- community detection
- graph mining algorithms
- heterogeneous networks
- heterogeneous social networks
- partitioning algorithm
- directed graph
- graph model
- social graph
- social graphs
- social interaction
- graph structure
- real world social networks
- min cut
- overlapping communities
- degree distribution
- graph representation
- small world
- graph matching
- communities in social networks
- betweenness centrality
- vertex set
- random graph models
- clustering coefficient
- image alignment
- graph theoretic
- social influence
- graph partitioning
- link analysis
- connected components
- structured data
- pairwise