Detecting community structure and structural hole spanner simultaneously by using graph convolutional network based Auto-Encoder.
JiaXing LuoYaJun DuPublished in: Neurocomputing (2020)
Keyphrases
- community structure
- graph theory
- complex networks
- overlapping communities
- communities in social networks
- community detection
- real world networks
- topological information
- graph clustering
- social networks
- densely connected
- real world social networks
- community discovery
- network analysis
- scale free
- random graphs
- degree distribution
- clustering coefficient
- small world
- community mining
- power law degree distribution
- graph structure
- structural information
- graph theoretic
- social network analysis
- weighted graph
- community detection algorithms
- graph mining
- citation networks
- low complexity
- network properties
- directed graph
- random walk
- rate distortion
- network structure
- bipartite graph
- community formation
- protein interaction networks
- undirected graph