Efficient hypothesis testing for community detection in heterogeneous networks by graph dissimilarity.
Xin-Jian XuCheng ChenJ. F. F. MendesPublished in: CoRR (2021)
Keyphrases
- hypothesis testing
- community detection
- heterogeneous networks
- bipartite networks
- link prediction
- graph clustering
- graph mining
- social networks
- label propagation
- overlapping communities
- label propagation algorithm
- real world networks
- complex networks
- community structure
- massive graphs
- bipartite graph
- random walk
- network analysis
- citation networks
- data sets
- statistical tests
- community discovery
- graph theory
- confidence intervals
- information networks
- multiple types
- machine learning