Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks.
Carlo Vittorio CannistraciAlessandro MuscoloniPublished in: CoRR (2018)
Keyphrases
- complex networks
- community detection
- affinity propagation
- graph theory
- graph clustering
- graph mining
- label propagation
- label propagation algorithm
- betweenness centrality
- community structure
- network analysis
- massive graphs
- community discovery
- clustering method
- small world
- link analysis
- protein interaction networks
- social networks
- clustering coefficient
- affinity propagation clustering
- network structure
- overlapping communities
- citation networks
- social network analysis
- link prediction
- biological networks
- real world networks
- clustering algorithm
- random graphs
- social graph
- scale free
- graph structure
- community detection algorithms
- information theoretic concepts
- network evolution
- densely connected
- k means
- degree distribution
- bipartite graph
- pairwise
- information retrieval
- information extraction
- data analysis
- low dimensional
- graph model