Graph sampling methods for big complex networks integrating centrality, k-core, and spectral sparsification.
Seok-Hee HongShan LuPublished in: SAC (2020)
Keyphrases
- complex networks
- betweenness centrality
- sampling methods
- graph theory
- social network analysis
- network analysis
- community detection
- community structure
- random sampling
- social networks
- community discovery
- degree centrality
- network structure
- small world
- scale free
- graph mining
- clustering coefficient
- real world networks
- class imbalance
- sampling algorithm
- link prediction
- biological networks
- centrality measures
- overlapping communities
- least squares
- network evolution
- functional modules
- shortest path
- data mining
- weighted graph
- image segmentation
- information theoretic concepts